Update file README.md

README.md

 [![Build
 Status](https://travis-ci.org/mattjj/pyhsmm.svg?branch=master)](https://travis-ci.org/mattjj/pyhsmm)
 
+This is an edit to the existing pyhsmm package by [Matt Johnson](https://github.com/mattjj), [Alex Wiltschko](https://github.com/alexbw), [Yarden Katz](https://github.com/yarden), [Chia-ying (Jackie) Lee](https://github.com/jacquelineCelia), [Scott Linderman](https://github.com/slinderman), [Kevin Squire](https://github.com/kmsquire), [Nick Foti](https://github.com/nfoti). It is specifically adapted for the purpose of implementing an HDP-HSMM (infinite hidden Markov model with duration distributions) with dynamic logistic regression as observation distributions.
+
+Install together with sab_pybasicbayes like this:
+
+```python
+conda create -n hdp_env_test python=3.7 pip numpy scipy matplotlib cython nose future requests 
+conda activate hdp_env_test
+
+pip install pypolyagamma
+
+pip install git+ssh://git@gitlab.tuebingen.mpg.de/agpd/sab_pybasicbayes.git
+pip install git+ssh://git@gitlab.tuebingen.mpg.de/agpd/sab_pyhsmm.git
+```
+
 # Bayesian inference in HSMMs and HMMs #
 
 This is a Python library for approximate unsupervised inference in