Bayesian inference with probabilistic programming.

Code for Gaussian process regression for value-censored functional and longitudinal data.

Code and example for the paper "Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs."

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

Latent Variable Models in R https://kkholst.github.io/lava/

Targeted inference (R package) https://kkholst.github.io/targeted/

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

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

Command line installer of the Julia Language.

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

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

Rmarkdown support for vim

Survival analysis in Julia

Bayesian statistics graduate course

Python script that exports training data from .progressionbackup files created by the Progression app for Android

Create and update Anki cards from your notes, (almost) regardless of what format you use.

WIP successor to Soss.jl

Bayesian Generalized Linear models using `@formula` syntax.

iasjfoi

Probabilistic programming via source rewriting

Draft proposal for additional sub/superscript characters in Unicode

"Distributions" that might not add to one.