diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 000000000..dfe077042
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,2 @@
+# Auto detect text files and perform LF normalization
+* text=auto
diff --git a/DESCRIPTION b/DESCRIPTION
index 5a5a8fde3..13d1f25a9 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -44,7 +44,6 @@ Imports:
     posterior, 
     rstan (>= 2.32.0),
     rstantools (>= 2.1.0),
-    shinystan (>= 2.3.0),
     stats,
     survival (>= 2.40.1),
     RcppParallel (>= 5.0.1),
@@ -62,6 +61,7 @@ Suggests:
     mgcv (>= 1.8-13),
     rmarkdown,
     roxygen2,
+    shinystan (>= 2.3.0),
     StanHeaders (>= 2.21.0),
     testthat (>= 1.0.2),
     gamm4,
@@ -76,4 +76,4 @@ UseLTO: true
 NeedsCompilation: yes
 URL: https://mc-stan.org/rstanarm/, https://discourse.mc-stan.org
 BugReports: https://github.com/stan-dev/rstanarm/issues
-RoxygenNote: 7.3.3
+Config/roxygen2/version: 8.0.0
diff --git a/NAMESPACE b/NAMESPACE
index 1f93e3581..6ea051150 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -33,7 +33,6 @@ S3method(get_y,stanmvreg)
 S3method(get_z,lmerMod)
 S3method(get_z,stanmvreg)
 S3method(kfold,stanreg)
-S3method(launch_shinystan,stanreg)
 S3method(log_lik,stanjm)
 S3method(log_lik,stanmvreg)
 S3method(log_lik,stanreg)
@@ -87,6 +86,7 @@ S3method(residuals,stanmvreg)
 S3method(residuals,stanreg)
 S3method(se,stanmvreg)
 S3method(se,stanreg)
+S3method(shinystan::launch_shinystan,stanreg)
 S3method(sigma,stanmvreg)
 S3method(sigma,stanreg)
 S3method(summary,stanmvreg)
@@ -195,7 +195,6 @@ import(Rcpp)
 import(bayesplot)
 import(methods)
 import(rstantools)
-import(shinystan)
 import(stats)
 importFrom(Matrix,Matrix)
 importFrom(Matrix,t)
diff --git a/R/doc-rstanarm-package.R b/R/doc-rstanarm-package.R
index 9abc30957..48b9a9907 100644
--- a/R/doc-rstanarm-package.R
+++ b/R/doc-rstanarm-package.R
@@ -20,14 +20,12 @@
 #' @useDynLib rstanarm, .registration = TRUE
 #'
 #' @import methods
-#' @importFrom rstan optimizing sampling vb constrain_pars extract
-#'   extract_sparse_parts get_posterior_mean stanc
+#' @importFrom rstan optimizing sampling vb constrain_pars extract extract_sparse_parts get_posterior_mean stanc
 #' @importFrom utils capture.output
 #' @importFrom RcppParallel RcppParallelLibs
 #' @import stats
 #' @import Rcpp
 #' @import bayesplot
-#' @import shinystan
 #' @import rstantools
 #' @export log_lik posterior_linpred posterior_epred posterior_predict posterior_interval
 #' @export predictive_interval predictive_error prior_summary bayes_R2
diff --git a/R/launch_shinystan.R b/R/launch_shinystan.R
index 39d6acf05..79e135ac9 100644
--- a/R/launch_shinystan.R
+++ b/R/launch_shinystan.R
@@ -1,51 +1,51 @@
 # Part of the rstanarm package for estimating model parameters
 # Copyright (C) 2015, 2016, 2017 Trustees of Columbia University
-# 
+#
 # This program is free software; you can redistribute it and/or
 # modify it under the terms of the GNU General Public License
 # as published by the Free Software Foundation; either version 3
 # of the License, or (at your option) any later version.
-# 
+#
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
-# 
+#
 # You should have received a copy of the GNU General Public License
 # along with this program; if not, write to the Free Software
 # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
 
 #' Using the ShinyStan GUI with rstanarm models
-#' 
+#'
 #' The ShinyStan interface provides visual and numerical summaries of model
 #' parameters and convergence diagnostics.
-#' 
+#'
 #' @aliases launch_shinystan
 #' @export
-#' 
+#'
 #' @templateVar stanregArg object
 #' @template args-stanreg-object
 #' @inheritParams shinystan::launch_shinystan
-#' @param ppd Should \pkg{rstanarm} draw from the posterior predictive 
-#'   distribution before launching ShinyStan? The default is \code{TRUE}, 
-#'   although for very large objects it can be convenient to set it to 
-#'   \code{FALSE} as drawing from the posterior predictive distribution can be 
-#'   time consuming. If \code{ppd} is \code{TRUE} then graphical posterior 
+#' @param ppd Should \pkg{rstanarm} draw from the posterior predictive
+#'   distribution before launching ShinyStan? The default is \code{TRUE},
+#'   although for very large objects it can be convenient to set it to
+#'   \code{FALSE} as drawing from the posterior predictive distribution can be
+#'   time consuming. If \code{ppd} is \code{TRUE} then graphical posterior
 #'   predictive checks are available when ShinyStan is launched.
-#' @param seed Passed to \link[=pp_check]{pp_check} if 
+#' @param seed Passed to \link[=pp_check]{pp_check} if
 #'   \code{ppd} is \code{TRUE}.
 #' @param model_name,note Optional arguments passed to
 #'   \code{\link[shinystan]{as.shinystan}}.
-#'   
+#'
 #' @details The \code{\link[shinystan]{launch_shinystan}} function will accept a
-#'   \code{\link[=stanreg-objects]{stanreg}} object as input. Currently, almost 
-#'   any model fit using one of \pkg{rstanarm}'s model-fitting functions can be 
-#'   used with ShinyStan. The only exception is that ShinyStan does not 
-#'   currently support \pkg{rstanarm} models fit using 
-#'   \code{algorithm='optimizing'}. See the 
-#'   \pkg{\link[shinystan:shinystan-package]{shinystan}} package documentation for more 
+#'   \code{\link[=stanreg-objects]{stanreg}} object as input. Currently, almost
+#'   any model fit using one of \pkg{rstanarm}'s model-fitting functions can be
+#'   used with ShinyStan. The only exception is that ShinyStan does not
+#'   currently support \pkg{rstanarm} models fit using
+#'   \code{algorithm='optimizing'}. See the
+#'   \pkg{\link[shinystan:shinystan-package]{shinystan}} package documentation for more
 #'   information.
-#'   
+#'
 #' @section Faster launch times:
 #' For some \pkg{rstanarm} models ShinyStan may take a very long time to launch.
 #' If this is the case with one of your models you may be able to speed up
@@ -53,16 +53,16 @@
 #' \describe{
 #'   \item{Prevent ShinyStan from preparing graphical posterior predictive
 #'   checks:}{
-#'   When used with a \code{\link[=stanreg-objects]{stanreg}} object 
-#'   (\pkg{rstanarm} model object) ShinyStan will draw from the posterior 
-#'   predictive distribution and prepare graphical posterior predictive checks 
-#'   before launching. That way when you go to the PPcheck page the plots are 
+#'   When used with a \code{\link[=stanreg-objects]{stanreg}} object
+#'   (\pkg{rstanarm} model object) ShinyStan will draw from the posterior
+#'   predictive distribution and prepare graphical posterior predictive checks
+#'   before launching. That way when you go to the PPcheck page the plots are
 #'   immediately available. This can be time consuming for models fit to very
 #'   large datasets and you can prevent this behavior by creating a shinystan
-#'   object before calling \code{launch_shinystan}. To do this use 
+#'   object before calling \code{launch_shinystan}. To do this use
 #'   \code{\link[shinystan]{as.shinystan}} with optional argument \code{ppd} set
 #'   to \code{FALSE} (see the Examples section below). When you then launch
-#'   ShinyStan and go to the PPcheck page the plots will no longer be 
+#'   ShinyStan and go to the PPcheck page the plots will no longer be
 #'   automatically generated and you will be presented with the standard
 #'   interface requiring you to first specify the appropriate \eqn{y} and
 #'   \eqn{yrep}, which can be done for many but not all \pkg{rstanarm} models.
@@ -73,31 +73,31 @@
 #'   \code{\link[shinystan]{as.shinystan}} can reduce \emph{future} launch
 #'   times. That is, \code{launch_shinystan(sso)} will be faster than
 #'   \code{launch_shinystan(fit)}, where \code{sso} is a shinystan object and
-#'   \code{fit} is a stanreg object. It still may take some time for 
+#'   \code{fit} is a stanreg object. It still may take some time for
 #'   \code{as.shinystan} to create \code{sso} initially, but each time you
 #'   subsequently call \code{launch_shinystan(sso)} it will reuse \code{sso}
 #'   instead of internally creating a shinystan object every time. See the
 #'   Examples section below.}
 #' }
-#' 
+#'
 #' @template reference-bayesvis
 #' @template reference-muth
-#'   
+#'
 #' @examples
 #' if (.Platform$OS.type != "windows" || .Platform$r_arch != "i386") {
 #' \dontrun{
-#' if (!exists("example_model")) example(example_model) 
-#' 
+#' if (!exists("example_model")) example(example_model)
+#'
 #' # Launch the ShinyStan app without saving the resulting shinystan object
 #' if (interactive()) launch_shinystan(example_model)
-#' 
+#'
 #' # Launch the ShinyStan app (saving resulting shinystan object as sso)
 #' if (interactive()) sso <- launch_shinystan(example_model)
-#' 
+#'
 #' # First create shinystan object then call launch_shinystan
 #' sso <- shinystan::as.shinystan(example_model)
 #' if (interactive()) launch_shinystan(sso)
-#' 
+#'
 #' # Prevent ShinyStan from preparing graphical posterior predictive checks that
 #' # can be time consuming. example_model is small enough that it won't matter
 #' # much here but in general this can help speed up launch_shinystan
@@ -105,14 +105,29 @@
 #' if (interactive()) launch_shinystan(sso)
 #' }
 #' }
+launch_shinystan <- function(object, ...) {
+  if (!requireNamespace("shinystan", quietly = TRUE)) {
+    stop(
+      "Package 'shinystan' is not installed but is required in order to use `launch_shinystan()`.",
+      call. = FALSE
+    )
+  }
+
+  shinystan::launch_shinystan(object, ...)
+}
+
+#' @rdname launch_shinystan
+#' @exportS3Method shinystan::launch_shinystan
 launch_shinystan.stanreg <-
-  function(object,
-           ppd = TRUE, 
-           seed = 1234, 
-           model_name = NULL, 
-           note = NULL, 
-           rstudio = getOption("shinystan.rstudio"), 
-           ...) {
+  function(
+    object,
+    ppd = TRUE,
+    seed = 1234,
+    model_name = NULL,
+    note = NULL,
+    rstudio = getOption("shinystan.rstudio"),
+    ...
+  ) {
     sso <-
       shinystan::as.shinystan(
         object,
@@ -121,5 +136,6 @@ launch_shinystan.stanreg <-
         model_name = model_name,
         note = note
       )
+
     shinystan::launch_shinystan(sso, rstudio = rstudio, ...)
   }
diff --git a/R/posterior_survfit.R b/R/posterior_survfit.R
index 11cd39473..299119680 100644
--- a/R/posterior_survfit.R
+++ b/R/posterior_survfit.R
@@ -531,8 +531,7 @@ posterior_survfit <- function(object, newdataLong = NULL, newdataEvent = NULL,
 #'
 #' @method plot survfit.stanjm
 #' @export
-#' @importFrom ggplot2 ggplot aes_string geom_line geom_ribbon
-#'   facet_wrap labs coord_cartesian
+#' @importFrom ggplot2 ggplot aes_string geom_line geom_ribbon facet_wrap labs coord_cartesian
 #'
 #' @templateVar idsArg ids
 #' @templateVar labsArg xlab,ylab
diff --git a/R/posterior_traj.R b/R/posterior_traj.R
index d555fd2e7..171218add 100644
--- a/R/posterior_traj.R
+++ b/R/posterior_traj.R
@@ -463,8 +463,7 @@ posterior_traj <- function(object, m = 1, newdata = NULL, newdataLong = NULL,
 #' 
 #' @method plot predict.stanjm
 #' @export
-#' @importFrom ggplot2 ggplot aes aes_string geom_line geom_smooth geom_ribbon 
-#'   geom_point facet_wrap geom_vline labs ggplot_build theme_bw
+#' @importFrom ggplot2 ggplot aes aes_string geom_line geom_smooth geom_ribbon geom_point facet_wrap geom_vline labs ggplot_build theme_bw
 #'    
 #' @templateVar labsArg xlab,ylab
 #' @templateVar scalesArg facet_scales
diff --git a/R/posterior_vs_prior.R b/R/posterior_vs_prior.R
index ebcfc73ca..bd488001b 100644
--- a/R/posterior_vs_prior.R
+++ b/R/posterior_vs_prior.R
@@ -91,8 +91,7 @@
 #' gg_polr + ggplot2::coord_flip()
 #' }
 #' }
-#' @importFrom ggplot2 geom_pointrange facet_wrap aes_string labs
-#'   scale_x_discrete element_line element_text
+#' @importFrom ggplot2 geom_pointrange facet_wrap aes_string labs scale_x_discrete element_line element_text
 #' 
 posterior_vs_prior <- function(object, ...) {
   UseMethod("posterior_vs_prior")
diff --git a/man/launch_shinystan.stanreg.Rd b/man/launch_shinystan.Rd
similarity index 92%
rename from man/launch_shinystan.stanreg.Rd
rename to man/launch_shinystan.Rd
index ca26635f2..fff74939c 100644
--- a/man/launch_shinystan.stanreg.Rd
+++ b/man/launch_shinystan.Rd
@@ -1,10 +1,12 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/launch_shinystan.R
-\name{launch_shinystan.stanreg}
-\alias{launch_shinystan.stanreg}
+\name{launch_shinystan}
 \alias{launch_shinystan}
+\alias{launch_shinystan.stanreg}
 \title{Using the ShinyStan GUI with rstanarm models}
 \usage{
+launch_shinystan(object, ...)
+
 \method{launch_shinystan}{stanreg}(
   object,
   ppd = TRUE,
@@ -19,14 +21,16 @@
 \item{object}{A fitted model object returned by one of the 
 \pkg{rstanarm} modeling functions. See \code{\link{stanreg-objects}}.}
 
-\item{ppd}{Should \pkg{rstanarm} draw from the posterior predictive 
-distribution before launching ShinyStan? The default is \code{TRUE}, 
-although for very large objects it can be convenient to set it to 
-\code{FALSE} as drawing from the posterior predictive distribution can be 
-time consuming. If \code{ppd} is \code{TRUE} then graphical posterior 
+\item{...}{Optional arguments passed to \code{\link[shiny]{runApp}}.}
+
+\item{ppd}{Should \pkg{rstanarm} draw from the posterior predictive
+distribution before launching ShinyStan? The default is \code{TRUE},
+although for very large objects it can be convenient to set it to
+\code{FALSE} as drawing from the posterior predictive distribution can be
+time consuming. If \code{ppd} is \code{TRUE} then graphical posterior
 predictive checks are available when ShinyStan is launched.}
 
-\item{seed}{Passed to \link[=pp_check]{pp_check} if 
+\item{seed}{Passed to \link[=pp_check]{pp_check} if
 \code{ppd} is \code{TRUE}.}
 
 \item{model_name, note}{Optional arguments passed to
@@ -37,8 +41,6 @@ is to launch the app in the user's default web browser rather than the
 pop-up Viewer provided by 'RStudio'. Users can change the default to
 \code{TRUE} by setting the global option \code{options(shinystan.rstudio =
 TRUE)}.}
-
-\item{...}{Optional arguments passed to \code{\link[shiny]{runApp}}.}
 }
 \description{
 The ShinyStan interface provides visual and numerical summaries of model
@@ -46,12 +48,12 @@ parameters and convergence diagnostics.
 }
 \details{
 The \code{\link[shinystan]{launch_shinystan}} function will accept a
-  \code{\link[=stanreg-objects]{stanreg}} object as input. Currently, almost 
-  any model fit using one of \pkg{rstanarm}'s model-fitting functions can be 
-  used with ShinyStan. The only exception is that ShinyStan does not 
-  currently support \pkg{rstanarm} models fit using 
-  \code{algorithm='optimizing'}. See the 
-  \pkg{\link[shinystan:shinystan-package]{shinystan}} package documentation for more 
+  \code{\link[=stanreg-objects]{stanreg}} object as input. Currently, almost
+  any model fit using one of \pkg{rstanarm}'s model-fitting functions can be
+  used with ShinyStan. The only exception is that ShinyStan does not
+  currently support \pkg{rstanarm} models fit using
+  \code{algorithm='optimizing'}. See the
+  \pkg{\link[shinystan:shinystan-package]{shinystan}} package documentation for more
   information.
 }
 \section{Faster launch times}{
@@ -62,16 +64,16 @@ If this is the case with one of your models you may be able to speed up
 \describe{
   \item{Prevent ShinyStan from preparing graphical posterior predictive
   checks:}{
-  When used with a \code{\link[=stanreg-objects]{stanreg}} object 
-  (\pkg{rstanarm} model object) ShinyStan will draw from the posterior 
-  predictive distribution and prepare graphical posterior predictive checks 
-  before launching. That way when you go to the PPcheck page the plots are 
+  When used with a \code{\link[=stanreg-objects]{stanreg}} object
+  (\pkg{rstanarm} model object) ShinyStan will draw from the posterior
+  predictive distribution and prepare graphical posterior predictive checks
+  before launching. That way when you go to the PPcheck page the plots are
   immediately available. This can be time consuming for models fit to very
   large datasets and you can prevent this behavior by creating a shinystan
-  object before calling \code{launch_shinystan}. To do this use 
+  object before calling \code{launch_shinystan}. To do this use
   \code{\link[shinystan]{as.shinystan}} with optional argument \code{ppd} set
   to \code{FALSE} (see the Examples section below). When you then launch
-  ShinyStan and go to the PPcheck page the plots will no longer be 
+  ShinyStan and go to the PPcheck page the plots will no longer be
   automatically generated and you will be presented with the standard
   interface requiring you to first specify the appropriate \eqn{y} and
   \eqn{yrep}, which can be done for many but not all \pkg{rstanarm} models.
@@ -82,7 +84,7 @@ If this is the case with one of your models you may be able to speed up
   \code{\link[shinystan]{as.shinystan}} can reduce \emph{future} launch
   times. That is, \code{launch_shinystan(sso)} will be faster than
   \code{launch_shinystan(fit)}, where \code{sso} is a shinystan object and
-  \code{fit} is a stanreg object. It still may take some time for 
+  \code{fit} is a stanreg object. It still may take some time for
   \code{as.shinystan} to create \code{sso} initially, but each time you
   subsequently call \code{launch_shinystan(sso)} it will reuse \code{sso}
   instead of internally creating a shinystan object every time. See the
@@ -93,7 +95,7 @@ If this is the case with one of your models you may be able to speed up
 \examples{
 if (.Platform$OS.type != "windows" || .Platform$r_arch != "i386") {
 \dontrun{
-if (!exists("example_model")) example(example_model) 
+if (!exists("example_model")) example(example_model)
 
 # Launch the ShinyStan app without saving the resulting shinystan object
 if (interactive()) launch_shinystan(example_model)
diff --git a/man/reexports.Rd b/man/reexports.Rd
index eeb735c72..9577bbdd1 100644
--- a/man/reexports.Rd
+++ b/man/reexports.Rd
@@ -11,6 +11,6 @@ These objects are imported from other packages. Follow the links
 below to see their documentation.
 
 \describe{
-  \item{survival}{\code{\link[survival]{Surv}}}
+  \item{survival}{\code{\link[survival:Surv]{Surv()}}}
 }}
 
diff --git a/man/rstanarm-package.Rd b/man/rstanarm-package.Rd
index acaae097f..94686a7fd 100644
--- a/man/rstanarm-package.Rd
+++ b/man/rstanarm-package.Rd
@@ -7,7 +7,7 @@
 \title{Applied Regression Modeling via RStan}
 \description{
 \if{html}{
-   \figure{stanlogo.png}{options: width="50" alt="https://mc-stan.org/about/logo/"}
+   \figure{logo.svg}{options: width="50" alt="https://mc-stan.org/about/logo/"}
    \emph{Stan Development Team}
 }
 
@@ -242,6 +242,7 @@ User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinyst
 
 Authors:
 \itemize{
+  \item Ben Goodrich \email{benjamin.goodrich@columbia.edu}
   \item Jonah Gabry \email{jgabry@gmail.com}
 }
 
diff --git a/man/stan_betareg.Rd b/man/stan_betareg.Rd
index c7a641ae0..6e707cd96 100644
--- a/man/stan_betareg.Rd
+++ b/man/stan_betareg.Rd
@@ -205,7 +205,7 @@ A \link[rstan:stanfit-class]{stanfit} object (or a slightly modified
   stanfit object) is returned if \code{stan_betareg.fit} is called directly.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Beta regression modeling with optional prior distributions for the 
 coefficients, intercept, and auxiliary parameter \code{phi} (if applicable).
 }
diff --git a/man/stan_biglm.Rd b/man/stan_biglm.Rd
index 99b81bc6d..91608231a 100644
--- a/man/stan_biglm.Rd
+++ b/man/stan_biglm.Rd
@@ -139,7 +139,7 @@ The output of both \code{stan_biglm} and \code{stan_biglm.fit} is an
   \code{\link{posterior_predict}} cannot be used.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 This is the same model as with \code{\link{stan_lm}} but it utilizes the
 output from \code{\link[biglm]{biglm}} in the \pkg{biglm} package in order to
 proceed when the data is too large to fit in memory.
diff --git a/man/stan_clogit.Rd b/man/stan_clogit.Rd
index 180fb7df5..5dfa25769 100644
--- a/man/stan_clogit.Rd
+++ b/man/stan_clogit.Rd
@@ -126,7 +126,7 @@ A \link[=stanreg-objects]{stanreg} object is returned
 for \code{stan_clogit}.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 A model for case-control studies with optional prior distributions for the
 coefficients, intercept, and auxiliary parameters.
 }
diff --git a/man/stan_gamm4.Rd b/man/stan_gamm4.Rd
index 16434f825..9d1ea43d9 100644
--- a/man/stan_gamm4.Rd
+++ b/man/stan_gamm4.Rd
@@ -212,7 +212,7 @@ for \code{stan_gamm4}.
 \code{plot_nonlinear} returns a ggplot object.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for GAMMs with flexible priors.
 }
 \details{
diff --git a/man/stan_glm.Rd b/man/stan_glm.Rd
index 1577796fa..f334d82d2 100644
--- a/man/stan_glm.Rd
+++ b/man/stan_glm.Rd
@@ -290,7 +290,7 @@ A \link[rstan:stanfit-class]{stanfit} object (or a slightly modified
   stanfit object) is returned if \code{stan_glm.fit} is called directly.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Generalized linear modeling with optional prior distributions for the
 coefficients, intercept, and auxiliary parameters.
 }
diff --git a/man/stan_glmer.Rd b/man/stan_glmer.Rd
index e8c0d6dd9..2385291be 100644
--- a/man/stan_glmer.Rd
+++ b/man/stan_glmer.Rd
@@ -228,7 +228,7 @@ A list with classes \code{stanreg}, \code{glm}, \code{lm},
   one row and one column (in which case it is just the group-level variance).
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for GLMs with group-specific coefficients that have 
 unknown covariance matrices with flexible priors.
 }
diff --git a/man/stan_jm.Rd b/man/stan_jm.Rd
index 758f575d0..e8b779eab 100644
--- a/man/stan_jm.Rd
+++ b/man/stan_jm.Rd
@@ -352,7 +352,7 @@ turns off the iteration updates.}
 A \link[=stanreg-objects]{stanjm} object is returned.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Fits a shared parameter joint model for longitudinal and time-to-event 
 (e.g. survival) data under a Bayesian framework using Stan.
 }
diff --git a/man/stan_lm.Rd b/man/stan_lm.Rd
index 8e2e25151..5c92c3cd4 100644
--- a/man/stan_lm.Rd
+++ b/man/stan_lm.Rd
@@ -151,7 +151,7 @@ A \link[rstan:stanfit-class]{stanfit} object (or a slightly modified
   stanfit object) is returned if \code{stan_lm.fit or stan_lm.wfit} is called directly.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for linear modeling with regularizing priors on the model
 parameters that are driven by prior beliefs about \eqn{R^2}, the proportion
 of variance in the outcome attributable to the predictors. See
diff --git a/man/stan_mvmer.Rd b/man/stan_mvmer.Rd
index 78b7306d9..f6d015bdd 100644
--- a/man/stan_mvmer.Rd
+++ b/man/stan_mvmer.Rd
@@ -128,7 +128,7 @@ turns off the iteration updates.}
 A \link[=stanreg-objects]{stanmvreg} object is returned.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for multivariate GLMs with group-specific coefficients 
 that are assumed to be correlated across the GLM submodels.
 }
diff --git a/man/stan_nlmer.Rd b/man/stan_nlmer.Rd
index 866757f46..3d8681c5e 100644
--- a/man/stan_nlmer.Rd
+++ b/man/stan_nlmer.Rd
@@ -149,7 +149,7 @@ A \link[=stanreg-objects]{stanreg} object is returned
 for \code{stan_nlmer}.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for NLMMs with group-specific coefficients that have 
 unknown covariance matrices with flexible priors.
 }
diff --git a/man/stan_polr.Rd b/man/stan_polr.Rd
index 53e140a36..6a2d6d80c 100644
--- a/man/stan_polr.Rd
+++ b/man/stan_polr.Rd
@@ -127,7 +127,7 @@ A \link[rstan:stanfit-class]{stanfit} object (or a slightly modified
   stanfit object) is returned if \code{stan_polr.fit} is called directly.
 }
 \description{
-\if{html}{\figure{stanlogo.png}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
+\if{html}{\figure{logo.svg}{options: width="25" alt="https://mc-stan.org/about/logo/"}}
 Bayesian inference for ordinal (or binary) regression models under a
 proportional odds assumption.
 }
diff --git a/tests/testthat/Rplots.pdf b/tests/testthat/Rplots.pdf
deleted file mode 100644
index ffd79fdd4..000000000
Binary files a/tests/testthat/Rplots.pdf and /dev/null differ