Bayesian inference with probabilistic programming.

Meta-package for data analysis in Julia, modeled after the R tidyverse.

An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.

Probabilistic programming via source rewriting

"Distributions" that might not add to one.

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

WIP successor to Soss.jl

Survival analysis in Julia

Bayesian Generalized Linear models using `@formula` syntax.

A simple framework for ANOVA on various types of Julia statistical models

Notes and programs for the DTU course 02689 Advanced Numerical Methods for Differential Equations