diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md
new file mode 100644
index 000000000000..a7825426cc74
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md
@@ -0,0 +1,279 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# Logarithm of Cumulative Distribution Function
+
+> [Wald][wald-distribution] distribution logarithm of [cumulative distribution function][cdf].
+
+<section class="intro">
+
+The [cumulative distribution function][cdf] for a [Wald][wald-distribution] random variable is
+
+<!-- <equation class="equation" label="eq:wald_cdf" align="center" raw="F(x;\mu,\lambda)=\Phi(\sqrt{\lambda/x}((x/\mu)-1))+\exp(2\lambda/\mu)\Phi(-\sqrt{\lambda/x}((x/\mu)+1))" alt="Cumulative distribution function (CDF) for a Wald distribution."> -->
+
+```math
+F(x;\mu,\lambda) = \Phi\!\left(\sqrt{\frac{\lambda}{x}}\left(\frac{x}{\mu}-1\right)\right) + \exp\!\left(\frac{2\lambda}{\mu}\right)\,\Phi\!\left(-\sqrt{\frac{\lambda}{x}}\left(\frac{x}{\mu}+1\right)\right)
+```
+
+<!-- </equation> -->
+
+where `μ > 0` is the mean and `λ > 0` is the shape parameter.
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+```
+
+#### logcdf( x, mu, lambda )
+
+Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for a [Wald][wald-distribution] distribution with parameters `mu` (mean) and `lambda` (shape parameter).
+
+```javascript
+var y = logcdf( 2.0, 2.0, 1.0 );
+// returns ~-0.337
+
+y = logcdf( 1.0, 2.0, 1.0 );
+// returns ~-0.713
+
+y = logcdf( 4.0, 2.0, 1.0 );
+// returns ~-0.136
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = logcdf( NaN, 2.0, 1.0 );
+// returns NaN
+
+y = logcdf( 2.0, NaN, 1.0 );
+// returns NaN
+
+y = logcdf( 2.0, 2.0, NaN );
+// returns NaN
+```
+
+If provided `mu <= 0` or `lambda < 0`, the function returns `NaN`.
+
+```javascript
+var y = logcdf( 2.0, 0.0, -3.0 );
+// returns NaN
+
+y = logcdf( 2.0, -1.0, -2.0 );
+// returns NaN
+
+y = logcdf( 2.0, -2.0, -1.0 );
+// returns NaN
+```
+
+If provided `x <= 0`, the function returns `-Infinity`.
+
+```javascript
+var y = logcdf( 0.0, 2.0, 1.0 );
+// returns -Infinity
+
+y = logcdf( -1.0, 2.0, 1.0 );
+// returns -Infinity
+```
+
+If `lambda = 0`, the function evaluates the logarithm of the [CDF][cdf] of a [degenerate distribution][degenerate-distribution] centered at `mu`.
+
+```javascript
+var y = logcdf( 2.0, 8.0, 0.0 );
+// returns -Infinity
+
+y = logcdf( 8.0, 8.0, 0.0 );
+// returns 0.0
+
+y = logcdf( 10.0, 8.0, 0.0 );
+// returns 0.0
+```
+
+#### logcdf.factory( mu, lambda )
+
+Returns a function for evaluating the natural logarithm of the [cumulative distribution function][cdf] of a [Wald][wald-distribution] distribution with parameters `mu` and `lambda`.
+
+```javascript
+var mylogcdf = logcdf.factory( 1.0, 1.0 );
+
+var y = mylogcdf( 2.0 );
+// returns ~-0.122
+
+y = mylogcdf( 8.0 );
+// returns ~-0.001
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+
+var opts = {
+    'dtype': 'float64'
+};
+var x = uniform( 10, EPS, 10.0, opts );
+var mu = uniform( 10, EPS, 10.0, opts );
+var lambda = uniform( 10, EPS, 20.0, opts );
+
+logEachMap( 'x: %0.4f, μ: %0.4f, λ: %0.4f, ln(F(x;μ,λ)): %0.4f', x, mu, lambda, logcdf );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+```
+
+#### stdlib_base_dists_wald_logcdf( x, mu, lambda )
+
+Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for a [Wald][wald-distribution] distribution with parameters `mu` (mean) and `lambda` (shape parameter).
+
+```c
+double out = stdlib_base_dists_wald_logcdf( 2.0, 1.0, 1.0 );
+// returns ~-0.122
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] double` input value.
+-   **mu**: `[in] double` mean.
+-   **lambda**: `[in] double` shape parameter.
+
+```c
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <time.h>
+
+static double random_uniform( const double min, const double max ) {
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v*(max-min) );
+}
+
+int main( void ) {
+    double lambda;
+    double mu;
+    double x;
+    double y;
+    int i;
+
+    for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        mu = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        y = stdlib_base_dists_wald_logcdf( x, mu, lambda );
+        printf( "x: %lf, μ: %lf, λ: %lf, ln(F(x;μ,λ)): %lf\n", x, mu, lambda, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function
+
+[wald-distribution]: https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution
+
+[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js
new file mode 100644
index 000000000000..390962b3f302
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js
@@ -0,0 +1,90 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var logcdf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var arrayOpts;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, arrayOpts );
+	mu = uniform( 100, EPS, 50.0, arrayOpts );
+	lambda = uniform( 100, EPS, 20.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logcdf( x[ i % x.length ], mu[ i % mu.length ], lambda[ i % lambda.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
+	var arrayOpts;
+	var mylogcdf;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	mylogcdf = logcdf.factory( 1.0, 1.5 );
+	x = uniform( 100, EPS, 10.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = mylogcdf( x[ i % x.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..27c59ac3c43d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js
@@ -0,0 +1,71 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var logcdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logcdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+	var arrayOpts;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, arrayOpts );
+	mu = uniform( 100, EPS, 50.0, arrayOpts );
+	lambda = uniform( 100, EPS, 20.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logcdf( x[ i % x.length ], mu[ i % mu.length ], lambda[ i % lambda.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+	CC := $(C_COMPILER)
+else
+	CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+	-std=c99 \
+	-O3 \
+	-Wall \
+	-pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+	fPIC ?=
+else
+	fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := benchmark.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+	$(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+	$(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+	$(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..98f51a79a407
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c
@@ -0,0 +1,143 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
+#include <time.h>
+#include <sys/time.h>
+
+#define NAME "wald-logcdf"
+#define ITERATIONS 1000000
+#define REPEATS 3
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+	printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total     total number of tests
+* @param passing   total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+	printf( "#\n" );
+	printf( "1..%d\n", total ); // TAP plan
+	printf( "# total %d\n", total );
+	printf( "# pass  %d\n", passing );
+	printf( "#\n" );
+	printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param elapsed   elapsed time in seconds
+*/
+static void print_results( double elapsed ) {
+	double rate = (double)ITERATIONS / elapsed;
+	printf( "  ---\n" );
+	printf( "  iterations: %d\n", ITERATIONS );
+	printf( "  elapsed: %0.9f\n", elapsed );
+	printf( "  rate: %0.9f\n", rate );
+	printf( "  ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+	struct timeval now;
+	gettimeofday( &now, NULL );
+	return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [min,max).
+*
+* @param min    minimum value (inclusive)
+* @param max    maximum value (exclusive)
+* @return       random number
+*/
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+	double lambda[ 100 ];
+	double mu[ 100 ];
+	double x[ 100 ];
+	double elapsed;
+	double y;
+	double t;
+	int i;
+
+	for ( i = 0; i < 100; i++ ) {
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		mu[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 50.0 );
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+	}
+
+	t = tic();
+	for ( i = 0; i < ITERATIONS; i++ ) {
+		y = stdlib_base_dists_wald_logcdf( x[ i%100 ], mu[ i%100 ], lambda[ i%100 ] );
+		if ( y != y ) {
+			printf( "should not return NaN\n" );
+			break;
+		}
+	}
+	elapsed = tic() - t;
+	if ( y != y ) {
+		printf( "should not return NaN\n" );
+	}
+	return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+	double elapsed;
+	int i;
+
+	// Use the current time to seed the random number generator:
+	srand( time( NULL ) );
+
+	print_version();
+	for ( i = 0; i < REPEATS; i++ ) {
+		printf( "# c::%s\n", NAME );
+		elapsed = benchmark();
+		print_results( elapsed );
+		printf( "ok %d benchmark finished\n", i+1 );
+	}
+	print_summary( REPEATS, REPEATS );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp
@@ -0,0 +1,170 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A `.gyp` file for building a Node.js native add-on.
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+  # List of files to include in this file:
+  'includes': [
+    './include.gypi',
+  ],
+
+  # Define variables to be used throughout the configuration for all targets:
+  'variables': {
+    # Target name should match the add-on export name:
+    'addon_target_name%': 'addon',
+
+    # Set variables based on the host OS:
+    'conditions': [
+      [
+        'OS=="win"',
+        {
+          # Define the object file suffix:
+          'obj': 'obj',
+        },
+        {
+          # Define the object file suffix:
+          'obj': 'o',
+        }
+      ], # end condition (OS=="win")
+    ], # end conditions
+  }, # end variables
+
+  # Define compile targets:
+  'targets': [
+
+    # Target to generate an add-on:
+    {
+      # The target name should match the add-on export name:
+      'target_name': '<(addon_target_name)',
+
+      # Define dependencies:
+      'dependencies': [],
+
+      # Define directories which contain relevant include headers:
+      'include_dirs': [
+        # Local include directory:
+        '<@(include_dirs)',
+      ],
+
+      # List of source files:
+      'sources': [
+        '<@(src_files)',
+      ],
+
+      # Settings which should be applied when a target's object files are used as linker input:
+      'link_settings': {
+        # Define libraries:
+        'libraries': [
+          '<@(libraries)',
+        ],
+
+        # Define library directories:
+        'library_dirs': [
+          '<@(library_dirs)',
+        ],
+      },
+
+      # C/C++ compiler flags:
+      'cflags': [
+        # Enable commonly used warning options:
+        '-Wall',
+
+        # Aggressive optimization:
+        '-O3',
+      ],
+
+      # C specific compiler flags:
+      'cflags_c': [
+        # Specify the C standard to which a program is expected to conform:
+        '-std=c99',
+      ],
+
+      # C++ specific compiler flags:
+      'cflags_cpp': [
+        # Specify the C++ standard to which a program is expected to conform:
+        '-std=c++11',
+      ],
+
+      # Linker flags:
+      'ldflags': [],
+
+      # Apply conditions based on the host OS:
+      'conditions': [
+        [
+          'OS=="mac"',
+          {
+            # Linker flags:
+            'ldflags': [
+              '-undefined dynamic_lookup',
+              '-Wl,-no-pie',
+              '-Wl,-search_paths_first',
+            ],
+          },
+        ], # end condition (OS=="mac")
+        [
+          'OS!="win"',
+          {
+            # C/C++ flags:
+            'cflags': [
+              # Generate platform-independent code:
+              '-fPIC',
+            ],
+          },
+        ], # end condition (OS!="win")
+      ], # end conditions
+    }, # end target <(addon_target_name)
+
+    # Target to copy a generated add-on to a standard location:
+    {
+      'target_name': 'copy_addon',
+
+      # Declare that the output of this target is not linked:
+      'type': 'none',
+
+      # Define dependencies:
+      'dependencies': [
+        # Require that the add-on be generated before building this target:
+        '<(addon_target_name)',
+      ],
+
+      # Define a list of actions:
+      'actions': [
+        {
+          'action_name': 'copy_addon',
+          'message': 'Copying addon...',
+
+          # Explicitly list the inputs in the command-line invocation below:
+          'inputs': [],
+
+          # Declare the expected outputs:
+          'outputs': [
+            '<(addon_output_dir)/<(addon_target_name).node',
+          ],
+
+          # Define the command-line invocation:
+          'action': [
+            'cp',
+            '<(PRODUCT_DIR)/<(addon_target_name).node',
+            '<(addon_output_dir)/<(addon_target_name).node',
+          ],
+        },
+      ], # end actions
+    }, # end target copy_addon
+  ], # end targets
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt
new file mode 100644
index 000000000000..1e1d2d056668
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt
@@ -0,0 +1,83 @@
+
+{{alias}}( x, μ, λ )
+    Evaluates the natural logarithm of the cumulative distribution function
+    (CDF) for a Wald distribution with mean `μ` and shape parameter `λ` at a
+    value `x`.
+
+    If provided `NaN` as any argument, the function returns `NaN`.
+
+    If provided `μ <= 0`, the function returns `NaN`.
+
+    If provided `λ < 0`, the function returns `NaN`.
+
+    Parameters
+    ----------
+    x: number
+        Input value.
+
+    μ: number
+        Mean parameter.
+
+    λ: number
+        Shape parameter.
+
+    Returns
+    -------
+    out: number
+        Evaluated logCDF.
+
+    Examples
+    --------
+    > var y = {{alias}}( 2.0, 1.0, 1.0 )
+    ~-0.122
+    > y = {{alias}}( 0.5, 2.0, 3.0 )
+    ~-2.897
+    > y = {{alias}}( -1.0, 4.0, 2.0 )
+    -Infinity
+    > y = {{alias}}( NaN, 1.0, 1.0 )
+    NaN
+    > y = {{alias}}( 0.0, NaN, 1.0 )
+    NaN
+    > y = {{alias}}( 0.0, 1.0, NaN )
+    NaN
+
+    // Negative shape parameter:
+    > y = {{alias}}( 2.0, 1.0, -1.0 )
+    NaN
+
+    // Degenerate distribution when `λ = 0.0`:
+    > y = {{alias}}( 2.0, 8.0, 0.0 )
+    -Infinity
+    > y = {{alias}}( 8.0, 8.0, 0.0 )
+    0.0
+    > y = {{alias}}( 10.0, 8.0, 0.0 )
+    0.0
+
+
+{{alias}}.factory( μ, λ )
+    Returns a function for evaluating the natural logarithm of the cumulative
+    distribution function (CDF) of a Wald distribution with mean `μ` and shape
+    parameter `λ`.
+
+    Parameters
+    ----------
+    μ: number
+        Mean parameter.
+
+    λ: number
+        Shape parameter.
+
+    Returns
+    -------
+    logcdf: Function
+        Logarithm of cumulative distribution function (CDF).
+
+    Examples
+    --------
+    > var mylogcdf = {{alias}}.factory( 10.0, 2.0 );
+    > var y = mylogcdf( 10.0 )
+    ~-0.253
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts
new file mode 100644
index 000000000000..a4616fbf0a4c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts
@@ -0,0 +1,121 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+*
+* @param x - input value
+* @returns evaluated logCDF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the natural logarithm of the cumulative distribution function (CDF) of a Wald distribution.
+*/
+interface LogCDF {
+	/**
+	* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+	*
+	* ## Notes
+	*
+	* -   If provided `mu <= 0` or `lambda < 0`, the function returns `NaN`.
+	*
+	* @param x - input value
+	* @param mu - mean
+	* @param lambda - shape parameter
+	* @returns evaluated logCDF
+	*
+	* @example
+	* var y = logcdf( 2.0, 1.0, 1.0 );
+	* // returns ~-0.122
+	*
+	* @example
+	* var y = logcdf( 0.5, 2.0, 3.0 );
+	* // returns ~-2.897
+	*
+	* @example
+	* var y = logcdf( NaN, 1.0, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* var y = logcdf( 0.0, NaN, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* var y = logcdf( 0.0, 1.0, NaN );
+	* // returns NaN
+	*
+	* @example
+	* // Nonpositive mean:
+	* var y = logcdf( 2.0, 0.0, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* // Negative shape parameter:
+	* var y = logcdf( 2.0, 1.0, -1.0 );
+	* // returns NaN
+	*
+	* @example
+	* // Degenerate distribution when `lambda = 0.0`:
+	* var y = logcdf( 2.0, 8.0, 0.0 );
+	* // returns -Infinity
+	*/
+	( x: number, mu: number, lambda: number ): number;
+
+	/**
+	* Returns a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+	*
+	* @param mu - mean
+	* @param lambda - shape parameter
+	* @returns function to evaluate the natural logarithm of the cumulative distribution function
+	*
+	* @example
+	* var mylogcdf = logcdf.factory( 10.0, 2.0 );
+	* var y = mylogcdf( 10.0 );
+	* // returns ~-0.253
+	*
+	* y = mylogcdf( 12.0 );
+	* // returns ~-0.213
+	*/
+	factory( mu: number, lambda: number ): Unary;
+}
+
+/**
+* Wald distribution natural logarithm of the cumulative distribution function (CDF).
+*
+* @param x - input value
+* @param mu - mean
+* @param lambda - shape parameter
+* @returns evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* var mylogcdf = logcdf.factory( 10.0, 2.0 );
+* y = mylogcdf( 10.0 );
+* // returns ~-0.253
+*/
+declare var logcdf: LogCDF;
+
+
+// EXPORTS //
+
+export = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts
new file mode 100644
index 000000000000..784bffdc827a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts
@@ -0,0 +1,119 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import logcdf = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	logcdf( 2, 2, 4 ); // $ExpectType number
+	logcdf( 1, 2, 8 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than three numbers...
+{
+	logcdf( true, 3, 6 ); // $ExpectError
+	logcdf( false, 2, 4 ); // $ExpectError
+	logcdf( '5', 1, 2 ); // $ExpectError
+	logcdf( [], 1, 2 ); // $ExpectError
+	logcdf( {}, 2, 4 ); // $ExpectError
+	logcdf( ( x: number ): number => x, 2, 4 ); // $ExpectError
+
+	logcdf( 9, true, 12 ); // $ExpectError
+	logcdf( 9, false, 12 ); // $ExpectError
+	logcdf( 5, '5', 10 ); // $ExpectError
+	logcdf( 8, [], 16 ); // $ExpectError
+	logcdf( 9, {}, 18 ); // $ExpectError
+	logcdf( 8, ( x: number ): number => x, 16 ); // $ExpectError
+
+	logcdf( 9, 5, true ); // $ExpectError
+	logcdf( 9, 5, false ); // $ExpectError
+	logcdf( 5, 2, '5' ); // $ExpectError
+	logcdf( 8, 4, [] ); // $ExpectError
+	logcdf( 9, 4, {} ); // $ExpectError
+	logcdf( 8, 5, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	logcdf(); // $ExpectError
+	logcdf( 2 ); // $ExpectError
+	logcdf( 2, 0 ); // $ExpectError
+	logcdf( 2, 0, 4, 1 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+	logcdf.factory( 3, 4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided invalid arguments...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn( true ); // $ExpectError
+	fcn( false ); // $ExpectError
+	fcn( '5' ); // $ExpectError
+	fcn( [] ); // $ExpectError
+	fcn( {} ); // $ExpectError
+	fcn( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn(); // $ExpectError
+	fcn( 2, 0 ); // $ExpectError
+	fcn( 2, 0, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided values other than two numbers...
+{
+	logcdf.factory( true, 3 ); // $ExpectError
+	logcdf.factory( false, 2 ); // $ExpectError
+	logcdf.factory( '5', 1 ); // $ExpectError
+	logcdf.factory( [], 1 ); // $ExpectError
+	logcdf.factory( {}, 2 ); // $ExpectError
+	logcdf.factory( ( x: number ): number => x, 2 ); // $ExpectError
+
+	logcdf.factory( 9, true ); // $ExpectError
+	logcdf.factory( 9, false ); // $ExpectError
+	logcdf.factory( 5, '5' ); // $ExpectError
+	logcdf.factory( 8, [] ); // $ExpectError
+	logcdf.factory( 9, {} ); // $ExpectError
+	logcdf.factory( 8, ( x: number ): number => x ); // $ExpectError
+
+	logcdf.factory( [], true ); // $ExpectError
+	logcdf.factory( {}, false ); // $ExpectError
+	logcdf.factory( false, '5' ); // $ExpectError
+	logcdf.factory( {}, [] ); // $ExpectError
+	logcdf.factory( '5', ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+	logcdf.factory( 0 ); // $ExpectError
+	logcdf.factory( 0, 4, 8 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+	CC := $(C_COMPILER)
+else
+	CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+	-std=c99 \
+	-O3 \
+	-Wall \
+	-pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+	fPIC ?=
+else
+	fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := example.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+	$(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled examples.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+	$(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+	$(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c
new file mode 100644
index 000000000000..a7ef62dcc032
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <time.h>
+
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
+}
+
+int main( void ) {
+	double lambda;
+	double mu;
+	double x;
+	double y;
+	int i;
+
+	for ( i = 0; i < 10; i++ ) {
+		x = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		mu = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		y = stdlib_base_dists_wald_logcdf( x, mu, lambda );
+		printf( "x: %lf, μ: %lf, λ: %lf, ln(F(x;μ,λ)): %lf\n", x, mu, lambda, y );
+	}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js
new file mode 100644
index 000000000000..81fc7d325ec0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var logcdf = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+var x = uniform( 10, EPS, 10.0, opts );
+var mu = uniform( 10, EPS, 10.0, opts );
+var lambda = uniform( 10, EPS, 20.0, opts );
+
+logEachMap( 'x: %0.4f, μ: %0.4f, λ: %0.4f, ln(F(x;μ,λ)): %0.4f', x, mu, lambda, logcdf );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi
@@ -0,0 +1,53 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A GYP include file for building a Node.js native add-on.
+#
+# Main documentation:
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+  # Define variables to be used throughout the configuration for all targets:
+  'variables': {
+    # Source directory:
+    'src_dir': './src',
+
+    # Include directories:
+    'include_dirs': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).include; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Add-on destination directory:
+    'addon_output_dir': './src',
+
+    # Source files:
+    'src_files': [
+      '<(src_dir)/addon.c',
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Library dependencies:
+    'libraries': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).libraries; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Library directories:
+    'library_dirs': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).libpath; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+  }, # end variables
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h
new file mode 100644
index 000000000000..6fb7cf63c8ba
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#ifndef STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
+#define STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
+
+/*
+* If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
+*/
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*/
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda );
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // !STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js
new file mode 100644
index 000000000000..2238fb9deeeb
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var constantFunction = require( '@stdlib/utils/constant-function' );
+var degenerate = require( '@stdlib/stats/base/dists/degenerate/logcdf' ).factory;
+var erfcx = require( '@stdlib/math/base/special/erfcx' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var erfc = require( '@stdlib/math/base/special/erfc' );
+var exp = require( '@stdlib/math/base/special/exp' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Returns a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+*
+* @param {PositiveNumber} mu - mean
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {Function} function to evaluate the natural logarithm of the cumulative distribution function
+*
+* @example
+* var logcdf = factory( 1.0, 1.0 );
+* var y = logcdf( 2.0 );
+* // returns ~-0.122
+*
+* y = logcdf( 0.5 );
+* // returns ~-1.008
+*/
+function factory( mu, lambda ) {
+	if (
+		isnan( mu ) ||
+		isnan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return constantFunction( NaN );
+	}
+	if ( lambda === 0.0 ) {
+		return degenerate( mu );
+	}
+	return logcdf;
+
+	/**
+	* Evaluates the natural logarithm of the cumulative distribution function (CDF) of a Wald distribution.
+	*
+	* @private
+	* @param {number} x - input value
+	* @returns {number} evaluated logCDF
+	*
+	* @example
+	* var y = logcdf( 2.0 );
+	* // returns <number>
+	*/
+	function logcdf( x ) {
+		var t1;
+		var t2;
+		var a;
+		var b;
+		var z;
+
+		if ( isnan( x ) ) {
+			return NaN;
+		}
+		if ( x <= 0.0 ) {
+			return NINF;
+		}
+		if ( x === PINF ) {
+			return 0.0;
+		}
+		z = sqrt( lambda / x );
+		a = ( z * ( ( x / mu ) - 1.0 ) ) / sqrt( 2.0 );
+		b = ( z * ( ( x / mu ) + 1.0 ) ) / sqrt( 2.0 );
+
+		// Φ(a) = 0.5 * erfc( -a / √2 )
+		t1 = 0.5 * erfc( -a );
+
+		// exp( 2λ/μ ) * erfc( b ) = erfcx( b ) * exp( -a² ), as b² - a² = 2λ/μ; computing via `erfcx` avoids overflow of the exponential term for large `λ/μ`:
+		t2 = 0.5 * erfcx( b ) * exp( -a * a );
+		return ln( t1 + t2 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js
new file mode 100644
index 000000000000..70d6cec3346d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js
@@ -0,0 +1,51 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Wald distribution logarithm of cumulative distribution function (CDF).
+*
+* @module @stdlib/stats/base/dists/wald/logcdf
+*
+* @example
+* var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+*
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* var mylogcdf = logcdf.factory( 2.0, 1.0 );
+* y = mylogcdf( 2.0 );
+* // returns ~-0.337
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var factory = require( './factory.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'factory', factory );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js
new file mode 100644
index 000000000000..02a7826776d9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js
@@ -0,0 +1,122 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var erfcx = require( '@stdlib/math/base/special/erfcx' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var erfc = require( '@stdlib/math/base/special/erfc' );
+var exp = require( '@stdlib/math/base/special/exp' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @param {number} x - input value
+* @param {PositiveNumber} mu - mean
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* @example
+* var y = logcdf( 0.5, 2.0, 3.0 );
+* // returns ~-2.897
+*
+* @example
+* var y = logcdf( NaN, 1.0, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, 1.0, NaN );
+* // returns NaN
+*
+* @example
+* // Non-positive mean:
+* var y = logcdf( 2.0, 0.0, 1.0 );
+* // returns NaN
+*
+* @example
+* // Negative shape parameter:
+* var y = logcdf( 2.0, 1.0, -1.0 );
+* // returns NaN
+*
+* @example
+* // Zero shape parameter (degenerate distribution):
+* var y = logcdf( 1.0, 1.0, 0.0 );
+* // returns 0.0
+*
+* @example
+* var y = logcdf( 0.0, 1.0, 1.0 );
+* // returns -Infinity
+*/
+function logcdf( x, mu, lambda ) {
+	var t1;
+	var t2;
+	var a;
+	var b;
+	var z;
+
+	if (
+		isnan( x ) ||
+		isnan( mu ) ||
+		isnan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return NaN;
+	}
+	if ( lambda === 0.0 ) {
+		return ( x < mu ) ? NINF : 0.0;
+	}
+	if ( x <= 0.0 ) {
+		return NINF;
+	}
+	if ( x === PINF ) {
+		return 0.0;
+	}
+	z = sqrt( lambda / x );
+	a = ( z * ( ( x / mu ) - 1.0 ) ) / sqrt( 2.0 );
+	b = ( z * ( ( x / mu ) + 1.0 ) ) / sqrt( 2.0 );
+
+	// Φ(a) = 0.5 * erfc( -a / sqrt( 2 ) )
+	t1 = 0.5 * erfc( -a );
+
+	// exp( 2λ/μ ) * erfc( b ) = erfcx( b ) * exp( -a² ), as b² - a² = 2λ/μ; computing via `erfcx` avoids overflow of the exponential term for large `λ/μ`:
+	t2 = 0.5 * erfcx( b ) * exp( -a * a );
+	return ln( t1 + t2 );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js
new file mode 100644
index 000000000000..0118420b5470
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js
@@ -0,0 +1,83 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @private
+* @param {number} x - input value
+* @param {PositiveNumber} mu - mean
+* @param {number} lambda - shape parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* @example
+* var y = logcdf( 0.5, 2.0, 3.0 );
+* // returns ~-2.897
+*
+* @example
+* var y = logcdf( NaN, 1.0, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, 1.0, NaN );
+* // returns NaN
+*
+* @example
+* // Non-positive mean:
+* var y = logcdf( 2.0, 0.0, 1.0 );
+* // returns NaN
+*
+* @example
+* // Negative shape parameter:
+* var y = logcdf( 2.0, 1.0, -1.0 );
+* // returns NaN
+*
+* @example
+* // Zero shape parameter (degenerate distribution):
+* var y = logcdf( 1.0, 1.0, 0.0 );
+* // returns 0.0
+*
+* @example
+* var y = logcdf( 0.0, 1.0, 1.0 );
+* // returns -Infinity
+*/
+function logcdf( x, mu, lambda ) {
+	return addon( x, mu, lambda );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json
new file mode 100644
index 000000000000..1a6ffa070c8b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json
@@ -0,0 +1,99 @@
+{
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
+  "fields": [
+    {
+      "field": "src",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "include",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "libraries",
+      "resolve": false,
+      "relative": false
+    },
+    {
+      "field": "libpath",
+      "resolve": true,
+      "relative": false
+    }
+  ],
+  "confs": [
+    {
+      "task": "build",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/napi/ternary",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/erfcx",
+        "@stdlib/math/base/special/erfc",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/math/base/special/exp",
+        "@stdlib/math/base/special/ln",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/erfcx",
+        "@stdlib/math/base/special/erfc",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/math/base/special/exp",
+        "@stdlib/math/base/special/ln",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf",
+        "@stdlib/constants/float64/eps"
+      ]
+    },
+    {
+      "task": "examples",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/erfcx",
+        "@stdlib/math/base/special/erfc",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/math/base/special/exp",
+        "@stdlib/math/base/special/ln",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf",
+        "@stdlib/constants/float64/eps"
+      ]
+    }
+  ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json
new file mode 100644
index 000000000000..a3fb80dec351
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json
@@ -0,0 +1,73 @@
+{
+  "name": "@stdlib/stats/base/dists/wald/logcdf",
+  "version": "0.0.0",
+  "description": "Natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "gypfile": true,
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "include": "./include",
+    "lib": "./lib",
+    "src": "./src",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "statistics",
+    "stats",
+    "distribution",
+    "dist",
+    "probability",
+    "cdf",
+    "logcdf",
+    "cumulative distribution",
+    "distribution function",
+    "logarithm",
+    "inverse gaussian",
+    "inverse-gaussian",
+    "wald",
+    "univariate",
+    "continuous"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+
+# RULES #
+
+#/
+# Removes generated files for building an add-on.
+#
+# @example
+# make clean-addon
+#/
+clean-addon:
+	$(QUIET) -rm -f *.o *.node
+
+.PHONY: clean-addon
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean: clean-addon
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c
new file mode 100644
index 000000000000..2c546488b674
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/math/base/napi/ternary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_dists_wald_logcdf )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c
new file mode 100644
index 000000000000..4e88555706db
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c
@@ -0,0 +1,76 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/math/base/assert/is_nan.h"
+#include "stdlib/math/base/special/erfcx.h"
+#include "stdlib/math/base/special/sqrt.h"
+#include "stdlib/math/base/special/erfc.h"
+#include "stdlib/math/base/special/exp.h"
+#include "stdlib/math/base/special/ln.h"
+#include "stdlib/constants/float64/pinf.h"
+#include "stdlib/constants/float64/ninf.h"
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @param x         input value
+* @param mu        mean
+* @param lambda    shape parameter
+* @return          evaluated logCDF
+*
+* @example
+* double y = stdlib_base_dists_wald_logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*/
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda ) {
+	double t1;
+	double t2;
+	double a;
+	double b;
+	double z;
+
+	if (
+		stdlib_base_is_nan( x ) ||
+		stdlib_base_is_nan( mu ) ||
+		stdlib_base_is_nan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return 0.0 / 0.0; // NaN
+	}
+	if ( lambda == 0.0 ) {
+		return ( x < mu ) ? STDLIB_CONSTANT_FLOAT64_NINF : 0.0;
+	}
+	if ( x <= 0.0 ) {
+		return STDLIB_CONSTANT_FLOAT64_NINF;
+	}
+	if ( x == STDLIB_CONSTANT_FLOAT64_PINF ) {
+		return 0.0;
+	}
+	z = stdlib_base_sqrt( lambda / x );
+	a = ( z * ( ( x / mu ) - 1.0 ) ) / stdlib_base_sqrt( 2.0 );
+	b = ( z * ( ( x / mu ) + 1.0 ) ) / stdlib_base_sqrt( 2.0 );
+
+	// Φ(a) = 0.5 * erfc( -a / sqrt( 2 ) )
+	t1 = 0.5 * stdlib_base_erfc( -a );
+
+	// exp( 2λ/μ ) * erfc( b ) = erfcx( b ) * exp( -a² ), as b² - a² = 2λ/μ; computing via `erfcx` avoids overflow of the exponential term for large `λ/μ`:
+	t2 = 0.5 * stdlib_base_erfcx( b ) * stdlib_base_exp( -a * a );
+	return stdlib_base_ln( t1 + t2 );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..e39ea0fbdc54
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json
@@ -0,0 +1 @@
+{"expected":[-0.7677471309208188,-0.2787086340220627,0.0,-0.29186588079971265,-0.1914971235172907,-0.12731826437327878,-0.0610086784073224,-0.19028425707461988,-0.42681525205624893,-0.27244540801438005,-0.21251158404533438,-7.845946115029059e-13,-0.03849048984358715,-0.39578618408422156,-0.1898310436301173,-0.1318845431741165,-0.40646684018544416,-0.3032891917840776,-0.055637733176745294,-8.455943621096414e-7,-0.343219796523212,-0.30141601654141464,-0.10333296295995086,-0.05455642821892258,-0.04690587719185412,-1.2720808052052244,-0.0796962282143258,-0.47193573066608335,-0.4134530021156068,-0.11314697005967272,-0.03216471247353266,-0.020954752134945673,-0.015599520523660508,-0.022494116512983355,-0.4180621901857225,-0.18835293326522334,-0.16834635837723289,-0.3472847724996076,-0.24962076409812362,-0.08246932615110435,-0.128564918241411,-0.5020499338920977,-0.29038754396175376,-0.31169717833873184,-0.06904784684357243,-0.41970306762870274,-0.13612005685448972,-0.007271828416049349,-0.00015796160625364324,-0.3311220546908127,-0.11981911864755566,-0.13022790414103966,-0.0653217646127126,-4.003896732022639e-5,-0.4620331299491943,-0.0003188154680565489,-0.38204564060956536,-0.8363929373195002,-0.9756308487481092,-4.9411845947719495e-8,-0.07582593148795107,-0.11930444004258285,-0.0668266210026477,-0.30539528705537283,-0.08481174372338386,-0.4053973718067023,-0.0006811817874303994,-0.15181102110853595,-1.1102230246251571e-15,-0.23894111947821683,-0.4055153021544522,-0.5295901072426727,-0.7862467843532569,-0.23625035118551335,-0.7486181436475855,-0.2265031845816536,-0.23736214416237184,-2.734723628742852e-5,-7.799821085523022e-7,-1.9762834684280597,-0.17720845862335044,-1.6047335064319812,-0.06880222614093277,-1.4355755358673525,-0.6239490729338388,-0.44181840911139736,-0.004426075765944797,-0.7023753511957961,-9.821689340075041e-7,-0.16860071469676394,-3.60587923479994e-6,-0.3160273270864338,-0.3911833228365226,-0.006534973023468772,-0.2151583507497586,-0.21306433776438144,-0.4856215167778689,-1.0184441802713948,-0.01465861472109714,-0.44445041735898383],"lambda":[3.4182949858077,0.9845087298645656,5.465527946273955,2.5987593899852373,1.9216955103800584,4.579307057884379,1.1343018721139326,2.849717984377608,3.2133430829381417,0.9625108956354124,3.371665659695282,2.805442223488767,4.44468565429758,4.433179917864226,2.576160379504697,2.8223135910564094,1.2429981405376247,4.0473949070773045,1.1047542930351129,5.051094499713389,1.3111616354411055,2.4791400567783675,1.9453897196172838,2.127033864180355,0.7435161144635856,5.089596050430019,0.7752557258865956,4.691790733935846,4.281872205292993,0.5634391957954256,5.132801344678098,3.29014221448661,4.448297918820132,2.195027101153086,2.688822324137505,2.765846447298146,4.354168793562432,1.0658269785567476,2.178053638839283,2.4465233576499212,1.0990075318128263,3.228971380463501,4.1765257232579,2.0902869722580726,5.045447362285321,4.047817024997428,2.2199700297012663,3.2203653321442385,2.763466252624867,2.1367585182007534,2.4745642757442203,4.858879927127423,0.9078811141958649,3.6810595480822585,0.8716694632316103,4.085871270710637,4.709679246255085,1.1092181441653954,4.733287410506161,1.1788727460919293,3.540469013320017,3.8588567647538903,1.0619959125897238,0.8854344423505351,1.8389559714572234,4.6743120740445345,2.3544039623848314,1.1756405668437453,3.9509919918045346,0.7575567061807799,1.1668854923906204,0.8918320819250132,4.696797384360636,5.2324232762413505,5.2506265556158125,5.389614103339855,1.3940498868748703,1.2958007081806506,3.0941573004056924,3.9362339077236843,0.708912296787423,2.4916859851471442,3.7517927984576716,3.7068430245034776,3.583063243333941,3.7601678800755503,5.1289404412236514,2.4361888788779726,4.833015774842675,1.4828963428654718,3.7508439675908103,2.278758223315224,3.457467368389411,5.234726366211575,5.231852707886034,3.696323350359666,2.5707934765856386,2.576901884357016,4.49598988830824,0.7690569644559482],"mu":[3.8160297895874224,5.415908329124594,0.5098294457677306,8.665746474677183,10.490841684140882,7.1991516914171445,4.032161592390338,9.070624432050852,8.95913754370084,10.146402603476993,10.3407887338936,0.6393188110327748,3.145518185330049,9.616540905114231,8.967259935062401,5.443979290251943,8.29334647693589,8.09163507594657,3.9833185116217127,1.7374280764998846,10.452407505971397,3.8370171293839834,4.809014301721888,1.4821914990086722,3.3320938535172333,1.639139987037665,2.076902173790744,7.2304256442179655,2.412671924751886,4.255038874649795,4.277911019408543,0.812347895555013,3.5602582965202876,3.067131107032048,5.704614939345904,6.508542890761502,6.385499153243318,5.455690900264028,8.28023740277153,0.5799358125122351,7.512617541092614,8.748534915987456,7.756998715695716,10.23885645518659,3.995320845136445,6.490540061067665,6.785084839722879,2.8691921705940233,1.752709849172211,7.161709560199388,5.790151123415305,4.565825012287347,3.3744926752138635,1.3665683138289182,3.816929208869981,1.369492173041193,5.378418315644382,7.906194742649857,9.504535724332658,0.7024185800711331,2.9638803445504376,6.645498718228065,4.1742419240277355,3.4434500311712366,2.2486516607363467,9.609355017691701,1.6218297864010573,7.8910398111913835,0.9104660748344702,9.6503359649901,2.4004774221277865,6.356006929162634,7.4573009069662035,5.36451840194582,9.623368354860267,8.098812331662867,10.192812496623592,0.5020784910025795,1.351259073741264,7.433207181952219,6.113145747998349,6.602175262408755,5.426094194351745,8.691377983453759,8.123292392337401,5.377197644699508,3.031751898527508,5.176441314240477,1.2760245361187845,10.008952169986545,1.6231979378457735,7.677283728015991,5.00564795025744,2.255467934246715,4.465342050489921,9.362791987802348,5.264922150484514,3.403574128136217,3.373899777469633,7.00522245725154],"x":[2.2886880843138413,4.661388669370461,15.164537825110578,8.580338485008458,13.73915494763048,14.78806163179938,14.565318272075649,13.568291100825938,6.465840749368759,6.392777340057905,14.114190165765205,7.952657002508393,9.114945824077552,8.161810069690503,13.23329832865447,11.083797993173047,4.072572698806404,8.847293054194239,15.332814992757871,15.091450707842013,5.733962582801725,4.414253408195529,11.692845103537817,3.8068812632230715,14.916144031773209,1.0340519826411827,6.049544567572894,5.834829491402029,2.541050075694834,8.926839111319834,13.913346183645592,1.8991106264926323,14.162118502537885,13.7975473492501,4.63823867808127,10.206891349779566,11.007962728402008,3.7602702308618947,9.201457611508358,1.007840623581448,14.103987083350495,5.415650665670313,8.913242428108818,8.161362544753588,9.752927151712433,5.710525221039752,13.502196663522962,14.673184141520277,14.337243800801662,6.233993636353876,12.681184607155295,8.758226788742023,11.701801914149112,9.061904964813463,2.041727696636957,6.809354705327678,5.464970651498978,1.4324613631118366,3.44743466072849,11.453329627931085,7.069475744432183,14.31014936889021,14.333518753828798,3.085512672342392,5.547598155269018,8.114922860121514,11.372559054774827,12.47228776059942,14.081165874504084,6.484826227477347,2.0262069868905974,2.1184974441980264,3.783768749367585,7.5108876362044645,4.783809857133653,11.478873751152472,9.330246900115748,3.557435343536315,14.1381728603775,1.3212892380120955,7.414683128332771,1.1483921882614285,15.3653829284134,1.8773257335438212,4.372427980998328,4.673844934708131,13.958932918188475,2.5509970305581966,9.055487743895595,14.077839259589743,14.935055984159352,6.994637543926216,4.775892906574661,8.219044669142614,6.58180954850306,13.171497792989001,3.7732884595245677,1.482575506652672,13.263404058135288,2.4905187691408806]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..8abdaad6220e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl
@@ -0,0 +1,78 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import Distributions: log, cdf, InverseGaussian
+import JSON
+
+"""
+	gen( x, mu, lambda, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `x`: input value
+* `mu`: mean
+* `lambda`: shape parameter
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> x = rand( 100 ) .* 15.0 .+ 0.5;
+julia> mu = rand( 100 ) .* 10.0 .+ 0.5;
+julia> lambda = rand( 100 ) .* 5.0 .+ 0.5;
+julia> gen( x, mu, lambda, "data.json" );
+```
+"""
+function gen( x, mu, lambda, name )
+	z = Array{Float64}( undef, length(x) );
+	for i in eachindex(x)
+		z[ i ] = log( cdf( InverseGaussian( mu[i], lambda[i] ), x[i] ) );
+	end
+
+	# Store data to be written to file as a collection:
+	data = Dict([
+		("x", x),
+		("mu", mu),
+		("lambda", lambda),
+		("expected", z)
+	]);
+
+	# Based on the script directory, create an output filepath:
+	filepath = joinpath( dir, name );
+
+	# Write the data to the output filepath as JSON:
+	outfile = open( filepath, "w" );
+	write( outfile, JSON.json(data) );
+	write( outfile, "\n" );
+	close( outfile );
+end
+
+# Get the filename:
+file = @__FILE__;
+
+# Extract the directory in which this file resides:
+dir = dirname( file );
+
+# Generate fixtures:
+x = rand( 100 ) .* 15.0 .+ 0.5;
+mu = rand( 100 ) .* 10.0 .+ 0.5;
+lambda = rand( 100 ) .* 5.0 .+ 0.5;
+gen( x, mu, lambda, "data.json" );
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js
new file mode 100644
index 000000000000..8b8f8c6f6d02
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js
@@ -0,0 +1,198 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var factory = require( './../lib/factory.js' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof factory, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function returns a function', function test( t ) {
+	var logcdf = factory( 1.0, 1.0 );
+	t.strictEqual( typeof logcdf, 'function', 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, 1.0 );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( 1.0, NaN );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NaN );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NaN );
+	y = logcdf( NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a valid `mu` and `lambda`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 0.0 );
+	y = logcdf( PINF );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( PINF );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a valid `mu` and `lambda`, the function returns a function which returns `-infinity` when provided `-infinity` for `x`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 0.0 );
+	y = logcdf( NINF );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( NINF );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the created function always returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 0.0, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( -1.0, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NINF, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the created function always returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 0.0, -1.0 );
+
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( 0.0, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( PINF, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NINF, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if `lambda` equals `0`, the created function evaluates a degenerate distribution centered at `mu`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 2.0, 0.0 );
+
+	y = logcdf( 2.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( 3.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var logcdf;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		logcdf = factory( mu[i], lambda[i] );
+		y = logcdf( x[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 70 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js
new file mode 100644
index 000000000000..b45719a84984
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var logcdf = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a factory method for generating `logcdf` functions', function test( t ) {
+	t.strictEqual( typeof logcdf.factory, 'function', 'exports a factory method' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js
new file mode 100644
index 000000000000..25f41b057266
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js
@@ -0,0 +1,149 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var logcdf = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+	var y = logcdf( NaN, 1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, NaN, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, 1.0, NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the function always returns `NaN`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, -1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `mu` and `lambda`, the function returns `0`', function test( t ) {
+	var y = logcdf( PINF, 1.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( PINF, 1.0, 1.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `-infinity` for `x` and a valid `mu` and `lambda`, the function returns `-infinity`', function test( t ) {
+	var y = logcdf( NINF, 1.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	y = logcdf( NINF, 1.0, 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the function always returns `NaN`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, 0.0, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, PINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NaN, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate distribution centered at `mu`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x equal to mu' );
+
+	y = logcdf( 3.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x greater than mu' );
+
+	y = logcdf( 1.0, 2.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns -infinity for x smaller than mu' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var mu;
+	var i;
+	var x;
+	var y;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logcdf( x[i], mu[i], lambda[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 70 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js
new file mode 100644
index 000000000000..bf24920680d0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js
@@ -0,0 +1,158 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// VARIABLES //
+
+var logcdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logcdf instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
+	var y = logcdf( NaN, 1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, NaN, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, 1.0, NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the function always returns `NaN`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, -1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `mu` and `lambda`, the function returns `0`', opts, function test( t ) {
+	var y = logcdf( PINF, 1.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( PINF, 1.0, 1.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `-infinity` for `x` and a valid `mu` and `lambda`, the function returns `-infinity`', opts, function test( t ) {
+	var y = logcdf( NINF, 1.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	y = logcdf( NINF, 1.0, 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the function always returns `NaN`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, 0.0, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, PINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NaN, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate distribution centered at `mu`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x equal to mu' );
+
+	y = logcdf( 3.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x greater than mu' );
+
+	y = logcdf( 1.0, 2.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns -infinity for x smaller than mu' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', opts, function test( t ) {
+	var expected;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logcdf( x[i], mu[i], lambda[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 70 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});