Update ReadMe.md

ReadMe.md

@@ -24,7 +24,7 @@ Installation
 -----------
 
 In order to install the package, it suffices to launch
-`R CMD INSTALL path/to/SubGroupSeparation`
+`R CMD INSTALL path/to/SGS`
 from a terminal, or `make install` from within the package source folder.
 
 Being hosted on GitHub, it is possible to use the `install_github`
@@ -35,7 +35,7 @@ if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocMana
 BiocManager::install(c("graph", "Rgraphviz", "RBGL"))
 
 library("devtools")
-install_github("cbg-ethz/SubGroupSeparation")
+install_github("cbg-ethz/SGS")
 ```
 
 The packages "graph", "Rgraphviz" and "RBGL" need to be installed from BioConductor, as they are not hosted on CRAN.
@@ -78,7 +78,7 @@ Benchmark Results
 
 We benchmarked the performance of our SGS method against standard inference schemes (Gibbs sampling and loopy belief propagation) over a broad range of different Bayesian networks. The results are summarized in the Figure below (lower is better), displaying the normalized root mean squared error (NRMSE). To reproduce the results, run the scripts in the benchmark folder. 
 
-# ![SGS](https://github.com/cbg-ethz/SubGroupSeparation/blob/master/vignettes/benchmark.png)
+# ![SGS](https://github.com/cbg-ethz/SGS/blob/master/vignettes/benchmark.png)
 
 Reference
 ---------