Commit message

README.md

@@ -6,7 +6,7 @@ April 24, 2023
 
 ## Introduction
 
-This package automates the steps required to perform time-dependent sensitivity analysis (TDSA), for both continuous- and discrete-time models. Refer to the bibliography for the theory behind TDSA, and the vignette for a simple demonstration of how to use the package.
+This package automates the steps required to perform time-dependent sensitivity analysis (TDSA), for both continuous- and discrete-time models. Refer to the bibliography for the theory behind TDSA, and the [vignette](https://cran.r-project.org/web/packages/tdsa/vignettes/demo.html) for a simple demonstration of how to use the package.
 
 ## Installation
 The package requires R version (>= 3.2.0).
@@ -32,11 +32,11 @@ To install from GitHub without using **devtools**:
 
         R CMD build path_to_folder
 
-    The argument `path_to_folder` in the command should point to the folder containing the unpacked repository. This will create a tarball (.tar.gz file), e.g. tdsa_1.0-1.tar.gz. Note that for Windows users, [RTools](https://cran.r-project.org/bin/windows/Rtools/) will need to be installed, and both R and RTools added to the system or user path.
+    The argument `path_to_folder` in the command should point to the folder containing the unpacked repository. This will create a tarball (.tar.gz file), e.g. tdsa_1.0-1.tar.gz. Note that for Windows users, [RTools](https://cran.r-project.org/bin/windows/Rtools) will need to be installed, and both R and RTools added to the system or user path.
 
 4. Install the tarball. This can be done using the R command
 
-        install.packages(path_to_tarball, repos = NULL, type="source")
+        install.packages(path_to_tarball, repos=NULL, type="source")
 
     or using the OS terminal command