diff --git a/.github/workflows/R-package.yml b/.github/workflows/R-package.yml
index 483e5e0..ec7a0f0 100644
--- a/.github/workflows/R-package.yml
+++ b/.github/workflows/R-package.yml
@@ -17,4 +17,6 @@ jobs:
     steps:
       - uses: "actions/checkout@v2"
       - uses: "r-lib/actions/setup-r@v2"
-        
\ No newline at end of file
+      - uses: r-lib/actions/check-r-package@v2
+        with:
+          working-directory: R-package
diff --git a/R-package/.Rbuildignore b/R-package/.Rbuildignore
index 61a8251..2aeab0d 100644
--- a/R-package/.Rbuildignore
+++ b/R-package/.Rbuildignore
@@ -1,3 +1,4 @@
 ^gptoolsStan\.Rproj$
 ^R-package\.Rproj$
 ^\.Rproj\.user$
+vignettes/getting_started
diff --git a/R-package/DESCRIPTION b/R-package/DESCRIPTION
index 83f8ab5..9eb06a1 100644
--- a/R-package/DESCRIPTION
+++ b/R-package/DESCRIPTION
@@ -1,17 +1,23 @@
 Package: gptoolsStan
-Title: Gaussian Processes on Graphs and Lattices in Stan.
+Title: Gaussian Processes on Graphs and Lattices in Stan
 Version: 0.1
 Authors@R:
     person("Till", "Hoffmann", , "t.hoffmann@hsph.harvard.edu", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0003-4403-0722"))
     person("Jukka-Pekka", "Onnela", , "onnela@hsph.harvard.edu", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0001-6613-8668"))
-Description: Gaussian processes are flexible distributions to model functional data. Whilst theoretically appealing, they are computationally cumbersome except for small datasets. This package implements two methods for scaling GP inference in Stan: (a) a sparse approximation of the likelihood that is generally applicable and (b) an exact method for regularly spaced data modeled by stationary kernels using fast Fourier methods.
+Description: Gaussian processes are flexible distributions to model functional data. Whilst
+    theoretically appealing, they are computationally cumbersome except for small datasets.
+    This package implements two methods for scaling GP inference in Stan. First, a sparse
+    approximation of the likelihood that is generally applicable and, second, an exact method for
+    regularly spaced data modeled by stationary kernels using fast Fourier methods.
 License: BSD-3-Clause
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.2.3
-Suggests: 
+Suggests:
     knitr,
-    rmarkdown
+    rmarkdown,
+    cmdstanr
 VignetteBuilder: knitr
+Remotes: https://mc-stan.org/r-packages/