Statistical Models Python Packages

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

pydtmc

A library for discrete-time Markov chains analysis.

generalized-additive-models

Generalized Additive Models in Python.

cegpy

Package for creating, manipulating, and analysing Chain Event Graphs. Built on networkx.

brmspy

Python-first access to R’s brms with proper parameter names, ArviZ support, and cmdstanr performance. The easiest way to run brms models from Python.

appelpy

Applied Econometrics Library for Python

ci-methods-analyser

Analyse efficacy of your own confidence interval (CI) methods

flame-pytorch

PyTorch implementation of the 3D FLAME model.

bareml

A Python module containing various machine learning algorithms.

pydisagg

pydisagg is a Python package for disaggregating estimated count observations across groups under generalized proportionality assumptions.

goftests

Generic goodness of fit tests for random plain old data

levy-stable-jax

Lévy's alpha-stable distribution for the Jax numerical framework

buqeyemodel

A Bayesian model of series convergence using Gaussian sums

phyddle

Software for phylogenetic model exploration with deep learning

python-synthetica

Generate synthetic time series data.

tseuler

A library for Time-Series exploration, analysis & modelling.

asalix

A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey

paratc

Functions for creating parametric tropical cyclone models.

stat-analysis

A Python library providing hands on implementation of a collection of common statistical methods for data analysis.

maxlike

Python package to model count data through maximum likelihood estimation.

gsum

A Bayesian model of series convergence using Gaussian sums