From 78cb5cabe940ada70761cc0d3d68554e1c0f3c65 Mon Sep 17 00:00:00 2001
From: aax270 <s.lo@qmul.ac.uk>
Date: Mon, 20 Jun 2022 11:53:03 +0100
Subject: [PATCH] Update README for forking

---
 DESCRIPTION |  1 +
 README.md   | 16 +++++++++++-----
 2 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 0a50407..370ddd0 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -11,5 +11,6 @@ LinkingTo: Rcpp, RcppArmadillo
 Description: Latent class analysis and latent class regression models
     for polytomous outcome variables.  Also known as latent structure analysis.
 License: GPL (>= 2)
+URL: https://github.com/shermanlo77/poLCAParallel
 LazyLoad: yes
 NeedsCompilation: yes
diff --git a/README.md b/README.md
index eac1bb1..21146e9 100644
--- a/README.md
+++ b/README.md
@@ -54,6 +54,17 @@ please check the possible following prerequisites are installed:
 * [LAPACK](http://www.netlib.org/lapack/)
 * [OpenBLAS](https://www.openblas.net/)
 
+## Installation using R
+
+Requires the R package
+[devtools](https://www.r-project.org/nosvn/pandoc/devtools.html)
+
+Run the following in R
+
+```r
+devtools::install_github("shermanlo77/poLCAParallel")
+```
+
 ## Installation using Linux Terminal
 
 Requires the R packages [Rcpp](https://cran.r-project.org/web/packages/Rcpp) and
@@ -72,11 +83,6 @@ then in a Linux terminal at the directory containing the repository
 R CMD INSTALL --preclean --no-multiarch poLCAParallel
 ```
 
-## Installation using RStudio
-
-You may install it using RStudio by opening the `.Rproj` file and clicking on
-`Build -> Install and Restart`.
-
 ## About poLCAParallel
 
 The library poLCAParallel reimplements poLCA in C++. This was done using