update version and documentation

1 files changed, 22 insertions, 5 deletions

diff --git a/README.md b/README.md
index 08afc28..d7aa3bc 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,3 @@
-=======
 SyncRNG
 =======
 A synchronized Tausworthe RNG usable in R and Python.
@@ -6,15 +5,18 @@ A synchronized Tausworthe RNG usable in R and Python.
 Why?
 ====
 
-This program was created because it was desired to have the same random 
-numbers in both R and Python programs. Although both languages implement a 
-Mersenne-Twister RNG, the implementations are so different that it is not 
-possible to get the same random numbers with the same seed.
+This program was created because I needed to have the same random numbers in 
+both R and Python. Although both languages implement a Mersenne-Twister RNG, 
+the implementations are so different that it is not possible to get the same 
+random numbers with the same seed.
 
 SyncRNG is a Tausworthe RNG implemented in ``syncrng.c``, and linked to both R 
 and Python. Since both use the same underlying C code, the random numbers will 
 be the same in both languages, provided the same seed is used.
 
+You can read more about my motivations for creating this 
+[here](https://gertjanvandenburg.com/blog/syncrng/).
+
 How
 ===
 
@@ -38,6 +40,21 @@ Similarly, after installing the R library you can do in R::
 
 You'll notice that the random numbers are indeed the same.
 
+R - User defined RNG
+--------------------
+
+R allows the user to define a custom random number generator, which is then 
+used for the common ``runif`` and ``rnorm`` functions in R. This has also been 
+implemented in SyncRNG as of version 1.3.0. To enable this, run::
+
+    library(SyncRNG)
+
+    set.seed(123456, 'user', 'user')
+    runif(10)
+
+These numbers are between [0, 1) and multiplying by ``2**32 - 1`` gives the 
+same results as above.
+
 Installation
 ============