Metadata-Version: 1.2
Name: rlssm
Version: 0.1.1.dev0
Summary: rlssm: a package for fitting RL models, SSM, and combinations of the two
Home-page: https://github.com/laurafontanesi/rlssm
Author: Laura Fontanesi
Author-email: laura.fontanesi.1@gmail.com
Maintainer: Laura Fontanesi
Maintainer-email: laura.fontanesi.1@gmail.com
License: MIT
Description: 
        
        rlssm
        ========
        ``rlssm`` is a Python package for fitting reinforcement learning (RL) models,
        sequential sampling models (DDM, RDM, LBA, ALBA, and ARDM),
        and combinations of the two, using Bayesian parameter estimation.
        
        Parameter estimation is done at an individual or hierarchical level
        using ``PyStan``, the Python Interface to Stan.
        Stan performs Bayesian inference using the No-U-Turn sampler,
        a variant of Hamiltonian Monte Carlo.
        
        Documentation
        =============
        The latest documentation can be found here: https://rlssm.readthedocs.io/
        
        License
        =======
        ``rlssm`` is licensed under the terms of the MIT license. See the file
        "LICENSE" for information on the history of this software, terms & conditions
        for usage, and a DISCLAIMER OF ALL WARRANTIES.
        
        All trademarks referenced herein are property of their respective holders.
        
        Copyright (c) 2021--, Laura Fontanesi,
        University of Basel.
        
Platform: OS Independent
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy
Requires: pandas
Requires: pystan
