diff --git a/README.md b/README.md
index 55906e5..f6d7a5d 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ gustave is available on CRAN and can therefore be installed with the `install.pa
 install.packages("gustave")
 ```
 
-However, if you wish to install the latest version of gustave, you can use `devtools::install_github()` to install it directly from the [github.com repository](https://github.com/martinchevalier/gustave):
+However, if you wish to install the latest version of gustave, you can use `devtools::install_github()` to install it directly from the [github.com repository](https://github.com/InseeFr/gustave):
 
 ```
 install.packages("devtools")
@@ -163,6 +163,6 @@ The variance estimation *wrapper* is much easier-to-use than a standard variance
 
 ## Colophon
 
-This software is an [R](https://cran.r-project.org/) package developed with the [RStudio IDE](https://www.posit.co/) and the [devtools](https://CRAN.R-project.org/package=devtools), [roxygen2](https://CRAN.R-project.org/package=roxygen2) and [testthat](https://CRAN.R-project.org/package=testthat) packages. Much help was found in [R packages](https://r-pkgs.org/) and [Advanced R](https://adv-r.hadley.nz/) both written by [Hadley Wickham](https://hadley.nz/).
+This software is an [R](https://cran.r-project.org/) package developed with the [RStudio IDE](https://posit.co/) and the [devtools](https://CRAN.R-project.org/package=devtools), [roxygen2](https://CRAN.R-project.org/package=roxygen2) and [testthat](https://CRAN.R-project.org/package=testthat) packages. Much help was found in [R packages](https://r-pkgs.org/) and [Advanced R](https://adv-r.hadley.nz/) both written by [Hadley Wickham](https://hadley.nz/).
 
 From the methodological point of view, this package is related to the [Poulpe SAS macro (in French)](http://jms-insee.fr/jms1998_programme/#1513415199356-a8a1bdde-becd) developed at the French statistical institute. From the implementation point of view, some inspiration was found in the [ggplot2](https://CRAN.R-project.org/package=ggplot2) package. The idea of developing an R package on this specific topic was stimulated by the [icarus](https://CRAN.R-project.org/package=icarus) package and its author.