Introduction

mvem is a Python package that provides maximum likelihood estimation methods for multivariate probability distributions using expectation-maximization (EM) algorithms. Additionally, it includes some functionality for fitting non-Gaussian multivariate mixture models. For fitting a wide range of univariate probability distributions, we refer to scipy.stats.

Install

mvem can be installed from PyPI by running pip install mvem. This also installs all requirements and sets everything up.

Getting Started

Get started with our examples and tutorials.