Metadata-Version: 2.3
Name: ot-arhmm
Version: 0.3
Summary: Toolkit for analyzing optical tweezer data using an autoregressive hidden Markov Model.
Project-URL: Documentation, https://github.com/kamenetska-lab/ot-arhmm#readme
Project-URL: Issues, https://github.com/kamenetska-lab/ot-arhmm/issues
Project-URL: Source, https://github.com/kamenetska-lab/ot-arhmm
Author-email: bdawes <bdawes@bu.edu>
License-Expression: MIT
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Requires-Dist: h5py
Requires-Dist: lumicks-pylake
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: statsmodels
Description-Content-Type: text/markdown

# OT arHMM

Code to fit optical tweezer data with autoregressive hidden Markov Models.

See [ot-arhmm.readthedocs.io](https://ot-arhmm.readthedocs.io) for instructions on how to use this package.

Developed by Brian Dawes in the Kamenetska research group at Boston University.
