Search Packages

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

pydtmc

A library for discrete-time Markov chains analysis.

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

generalized-additive-models

Generalized Additive Models in Python.

appelpy

Applied Econometrics Library for Python

ci-methods-analyser

Analyse efficacy of your own confidence interval (CI) methods

pydisagg

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

goftests

Goodness of fit tests for general datatypes

phyddle

Software for phylogenetic model exploration with deep learning

levy-stable-jax

Implementation of the Lévy alpha-stable distributions for Jax.

flame-pytorch

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

bareml

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

python-synthetica

Generate synthetic time series data.

paratc

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

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.

buqeyemodel

A Bayesian model of series convergence using Gaussian sums

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

gsum

A Bayesian model of series convergence using Gaussian sums