juangamella / ut-lvce

Python implementation of the UT-LVCE algorithms from the 2022 paper "Perturbations and Causality in Gaussian Latent Variable Models", by A. Taeb, JL. Gamella, C. Heinze-Deml and P. Bühlmann.

UT-LVCE: Perturbations and Causality in Gaussian Latent Variable Models

This repository contains a Python implementation of the UT-LVCE algorithms from the 2022 paper "Perturbations and Causality in Gaussian Latent Variable Models", by A. Taeb, JL. Gamella, C. Heinze-Deml and P. Bühlmann.

It is also available as the python package utlvce. You can find the full documentation at https://utlvce.readthedocs.io/en/latest/.

The code to reproduce the experiments and figures in the paper can be found in a separate repository.

Installation

You can clone this repo or install the package using pip:

pip install utlvce

Documentation

You can find the docs at https://utlvce.readthedocs.io/en/latest/.

Versioning

The pacakge is still at its infancy and its API may change in the future. Non backward-compatible changes to the API are reflected by a change to the minor or major version number, e.g.

code written using utlvce==0.1.2 will run with utlvce==0.1.3, but may not run with utlvce==0.2.0.

Feedback

Feedback is most welcome! You can add an issue or send an email.