Statistical Inference Python Packages

pyhf

pure-Python HistFactory implementation with tensors and autodiff

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

hepstats

HEP statistics tools and utilities.

delimiterfinder

Python package for probabilistic delimiter detection.

generalized-additive-models

Generalized Additive Models in Python.

cegpy

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

stattools

Statistical learning and inference algorithms implemented in Python 3

ambrosia

Ambrosia is a Python library for A/B tests design, split and result measurement

regression-inference

Regression inference for Python

esa-2scm

ESA-2SCM Python Package for Causal Discovery

pytorch-inferno

PyTorch Implementation of INFERNO

beta4dist

A Python package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation

isweep

Statistical inference of recent positive selection using IBD segments

dnn-inference

Significance tests of feature relevance for a black-box learner

tfnbs

Unified Python framework for permutation-based statistical inference on brain connectivity networks (NBS, TFNBS, cNBS, NI-TFNBS, FBC-TFNBS, GLM, ComBat)

scmopy

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

vimpy

Perform inference on algorithm-agnostic variable importance in Python

ambrozia

Ambrosia is a Python library for A/B tests design, split and result measurement

buqeyemodel

A Bayesian model of series convergence using Gaussian sums

scikit-stats

HEP statistics tools and utilities.

memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

pysie

Package provides python implementation of statistical inference engine

symlik

Symbolic Likelihood Models for Statistical Inference - MLE, standard errors, confidence intervals, hypothesis tests with automatic differentiation

gsum

A Bayesian model of series convergence using Gaussian sums