update README.md -> change links

README.md

@@ -13,16 +13,16 @@ To install `GGoutlieR` v0.2.2, please use the R commands below:
 install.packages(c("geosphere","stats4","FastKNN","foreach","doSNOW","iterators","parallel","rworldmap","scales","plotrix","mapplots", "RColorBrewer","rworldxtra","dichromat","sp"))
 
 ## install GGoutlieR
-install.packages("https://gitlab.com/kjschmid/ggoutlier/-/blob/master/GGoutlieR_0.2.2.tar.gz", repos = NULL, type="source")
+install.packages("https://github.com/kjschmidlab/GGoutlieR/blob/master/GGoutlieR_0.2.2.tar.gz", repos = NULL, type="source")
 ```
 
 ## Tutorial
 
-You can find an example of `GGoutlieR` analysis using a global barley landrace collection [HERE](https://gitlab.com/kjschmid/ggoutlier/-/blob/master/vignettes/outlier_detection.pdf) (`./vignettes/outlier_detection.pdf`). 
+You can find an example of `GGoutlieR` analysis using a global barley landrace collection [HERE](https://github.com/kjschmidlab/GGoutlieR/blob/master/vignettes/outlier_detection.pdf) (`./vignettes/outlier_detection.pdf`). 
 
 ## Details about GGoutlieR framework
 
-To find the detailed algorithm of `GGoutlieR`, please check the supplementary material of our manuscript [HERE](https://gitlab.com/kjschmid/ggoutlier/-/blob/master/paper/suppinfo.pdf) (`./paper/suppinfo.pdf`).
+To find the detailed algorithm of `GGoutlieR`, please check the supplementary material of our manuscript [HERE](https://github.com/kjschmidlab/GGoutlieR/blob/master/paper/suppinfo.pdf) (`./paper/suppinfo.pdf`).
 
 ## Preprint
 Che-Wei Chang and Karl Schmid. 2023. GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples. bioRxiv. DOI: [https://doi.org/10.1101/2023.04.06.535838](https://doi.org/10.1101/2023.04.06.535838)