Metadata-Version: 2.1
Name: mtdlearn
Version: 0.2.3
Summary: Package for training Mixture Transition Distribution (MTD) models
Home-page: https://github.com/PiotrekGa/mtd-learn
Author: Piotr Gabryś
Author-email: piotrek.gabrys@gmail.com
License: MIT
Description: # mtd-learn: Package for training Mixture Transition Distribution (MTD) models
        
        ## Installation
        
        ```
        pip install mtdlearn
        ```
        
        ## Communication
        GitHub [Issues](https://github.com/PiotrekGa/mtd-learn/issues) for bug reports, feature requests and questions.
        
        ## Contribution
        Any contribution is welcome! Please follow this [branching model](https://nvie.com/posts/a-successful-git-branching-model/).
        
        ## License
        MIT License (see [LICENSE](https://github.com/PiotrekGa/mtd-learn/blob/master/LICENSE)).
        
        ## References
        1. Introduction to MTD model [The Mixture Transition Distribution Model for High-Order Markov Chains and Non-Gaussian Time Series](https://projecteuclid.org/euclid.ss/1042727943) by André Berchtold and Adrian Raftery
        2. Paper with estimation algorithm implemented in the package [An EM algorithm for estimation in the Mixture Transition Distribution model
        ](https://arxiv.org/abs/0803.0525) by Sophie Lèbre and Pierre-Yves Bourguinon.
        
Platform: UNKNOWN
Provides-Extra: dev
