============= HSMM based SimDyad is a python project using Bayesian Nonparametric Hidden semi-Markov Models to Disentangle Affect Processes During Marital Interaction This project is based on Matthew J. Johnson's work <pyhsmm>.

Note: HSMM_SimDyad is not based on a fork of pyhsmm. Instead, an old version of pyhsmm has been modified to achieve the specific tasks of HSMM SimDyad.

Authors:

William A. Griffin,Center for Social Dynamics and Complexity, Arizona State University

Xun Li, Arizona State University

The data used for HSMM_SimDyad is located at:

.\matAll\

Each file is a sequential data for a specific couple (e.g. c200.txt represents data for c200).

Dependencies: wxpython, numpy, scipy.

To run it, just simple call

python hsmm.py

If you want a GUI, call

python hsmmSimDyad.py

If you want to run in parallel, call

python hsmmHPC.py

For the paper "Using Bayesian Nonparametric Hidden semi-Markov Models to Disentangle Affect Processes During Marital Interaction", we have setup 5 experiements for randomization testing -- check the shell script for details

python batchScriptRn1.sh
python batchScriptRn2.sh
python batchScriptRn3.sh
python batchScriptRn4.sh
python batchScriptRn5.sh

To configure the parameters or hyper-parameters, please ref

./conf/gen_params.py
./gcp/couple_gaussianprior.py