diff --git a/README.Rmd b/README.Rmd
index 5bff1ed..0d62312 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -41,7 +41,7 @@ install.packages("randomizr", repos="http://r.declaredesign.org")
 
 ### Getting started with randomizr for R
 
-**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](http://randomizr.declaredesign.org/reference/index.html) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`.
+**randomizr** has five main random assignment functions, corresponding to the common experimental designs listed above. You can read more about using each of these functions in our [reference library](https://declaredesign.org/R/randomizr/reference/) or by clicking on the function names: `simple_ra()`, `complete_ra()`, `block_ra()`, `cluster_ra()`, and `block_and_cluster_ra()`.
 
 `complete_ra()` (Complete randomization) is the function that will be most appropriate for a large number of experimental situations: when you want to assign a fixed `m` units out of a population of `N` units to treatment:
 
@@ -71,7 +71,7 @@ table(Z, clust_var)
 knitr::kable(table(Z, clust_var))
 ```
 
-For more information about all of **randomizr**'s functionality, please see our [online tutorial](http://randomizr.declaredesign.org/articles/randomizr_vignette.html)
+For more information about all of **randomizr**'s functionality, please see our [online tutorial](https://declaredesign.org/R/randomizr/articles/randomizr_vignette.html)
 
 ## randomizr for Stata
 
@@ -97,7 +97,7 @@ set obs 100
 complete_ra, m(50)
 ```
 
-A Stata version of our [online tutorial](http://randomizr.declaredesign.org/articles/srandomizr_vignette.html) is also available.
+A Stata version of our [online tutorial](https://declaredesign.org/R/randomizr/articles/srandomizr_vignette.html) is also available.
 
 
 Happy randomizing!