Metadata-Version: 2.1
Name: bayesian-multitarget-latent-factors
Version: 0.5.0
Summary: Fits and explores the posterior of a Bayesian Latent Factor model with multiple functional targets
Home-page: https://github.com/Addicted2BayesianEpistemology/bayesian_multitarget_latent_factors
Author: Bruno Ursino
Author-email: bru1uno2@gmail.com
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
Requires-Dist: numpy >=1.26.4
Requires-Dist: xarray >=2024.1.1
Requires-Dist: scipy >=1.12.0
Requires-Dist: xarray-einstats >=0.7.0
Requires-Dist: ipywidgets >=8.1.2
Requires-Dist: IPython >=8.21.0
Requires-Dist: pandas >=2.2.0
Requires-Dist: matplotlib >=3.8.2
Requires-Dist: seaborn >=0.13.2
Requires-Dist: arviz >=0.17.0
Requires-Dist: scikit-fda >=0.9
Requires-Dist: cmdstanpy >=1.2.1


# Introduction
TO-DO


## Notes on Installation
TO-DO


# Description of the Directories
The core of the code is in the directory `bayesian_multitarget_latent_factors`.

`examples` contains notebook that exemplify the usage of the library.
