Metadata-Version: 2.4
Name: dynm
Version: 0.0.3
Summary: Bayesian Dynamic Models.
Author: André Menezes
Author-email: Eduardo Pinheiro <eduardo.pinheiro@murabei.com>
Project-URL: Homepage, https://github.com/AndrMenezes/dynm
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas==2.0.3
Requires-Dist: numpy==1.24.4
Requires-Dist: scipy==1.10.1

# dynm: a python package for sequential inference in univariate dynamic models

The `dynm` is a `Python` package for sequential inference in univariate dynamic models, enabling the consideration of structural blocks (polynomial, regression, seasonality with Fourier series, autoregressive terms, and transfer functions) to generate future forecasts using predictive distributions and retrospective analysis through the posterior distributions of state-space parameters.
