Generalized linear models in Julia

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Some nonnegative least squares solvers in Julia

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Frequency tables in Julia

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

A Julia package for evaluating distances (metrics) between vectors.

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

Robust implementation for random-walk Metropolis-Hastings algorithms

Reimplementation of Raphaelvallat's Pingouin in Julia

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Kernel density estimators for Julia

Port-Hamiltonian systems in Julia

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Numerical stabilization routines for determinant quantum Monte Carlo

A Bayesian Analysis Toolkit in Julia

Convenience meta-package to load essential packages for statistics

Probabilistic programming via source rewriting

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

Causal, Higher-Order, Probabilistic Programming

Survival analysis in Julia

Fast, LoopVectorization.jl-based summary statistics

Provides likelihood functions for Gaussian Processes.

BayesianNonparametrics in julia

Multivariate Gaussian Direct Coupling Analysis for residue contact prediction in protein families - Julia module

Bayesian Networks for Julia

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Statistical bootstrapping library for Julia

Probabilistic Circuits from the Juice library

A collection of robust statistical tests in Julia

Simple least squares and curve fitting functions

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Basis Function Expansions for Julia

Statistical Models with Regularization in Pure Julia

Hidden Markov Models for Julia.

A Julia package for Gaussian Processes

Lasso/Elastic Net linear and generalized linear models