address gdq comments

README.md

@@ -3,18 +3,18 @@
 [![Build Status](https://travis-ci.org/IBM/AIF360.svg?branch=master)](https://travis-ci.org/IBM/AIF360)
 [![Documentation](https://readthedocs.org/projects/aif360/badge/?version=latest)](http://aif360.readthedocs.io/en/latest/?badge=latest)
 [![PyPI version](https://badge.fury.io/py/aif360.svg)](https://badge.fury.io/py/aif360)
+[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/aif360)](https://cran.r-project.org/package=aif360)
 
 The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the
-research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle.
-The AI Fairness 360 Python package includes
+research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R.
+
+The AI Fairness 360 package includes
 1) a comprehensive set of metrics for datasets and models to test for biases,
 2) explanations for these metrics, and
 3) algorithms to mitigate bias in datasets and models.
 It is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging
 as finance, human capital management, healthcare, and education. We invite you to use it and improve it.
 
-AIF360 is also available in R. For R setup, please refer to instructions [here](aif360/aif360-r/README.md).
-
 The [AI Fairness 360 interactive experience](http://aif360.mybluemix.net/data)
 provides a gentle introduction to the concepts and capabilities. The [tutorials
 and other notebooks](./examples) offer a deeper, data scientist-oriented
@@ -58,6 +58,8 @@ Get in touch with us on [Slack](https://aif360.slack.com) (invitation
 
 ## Setup
 
+### Python
+
 Supported Python Configurations:
 
 | OS      | Python version |
@@ -66,6 +68,14 @@ Supported Python Configurations:
 | Ubuntu  | 3.5, 3.6, 3.7  |
 | Windows | 3.5, 3.6, 3.7  |
 
+### R
+
+``` r
+install.packages("aif360")
+```
+
+For more details regarding the R setup, please refer to instructions [here](aif360/aif360-r/README.md).
+
 ### (Optional) Create a virtual environment
 
 AIF360 requires specific versions of many Python packages which may conflict