Statistical Models Python Packages

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

pydtmc

A library for discrete-time Markov chains analysis.

gibbus

Flexible analytic log-concave distributions fitted by maximum likelihood, with support-aware modeling and optional mixtures for multimodal data.

cegpy

Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.

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

generalized-additive-models

Generalized Additive Models in Python.

goftests

Generic goodness of fit tests for random plain old data

pydisagg

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

phyddle

Phylogenetic model exploration with deep learning

levy-stable-jax

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

python-synthetica

Generate synthetic time series data.

bareml

Machine learning & deep learning implementation from scratch, depending only on numpy.

paratc

ParaTC: Python functions and classes for generating parametric tropical cyclone models.

flame-pytorch

This is a implementation of the 3D FLAME model in PyTorch

asalix

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

tseuler

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

tkstatistics

stdlib-only statistical app backed only by what is available in the python stdlib

gsum

A Bayesian model of series convergence using Gaussian sums

stat-analysis

python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites

buqeyemodel

A Bayesian model of series convergence using Gaussian sums

maxlike

Python package to model count data through maximum likelihood estimation.