Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms

Materials for StanCon 2023

Survival package for R

An R package for conducting sensitivity analyses for unmeasured confounders

A Python library that helps data scientists to infer causation rather than observing correlation.

library of C++ functions that support applications of Stan in Pharmacometrics

A more maintainable, easier to share version of the infamous http://mindprod.com/jgloss/unmain.html

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

A Julia package for fitting (statistical) mixed-effects models

OptimPack is a library for large optimization problems.

An Emacs development environment for Julia

API for exploring and iterating rstan fit objects

Home for the computational inference reading group.

Bayesian Data Analysis course at Aalto

Case studies on model assessment, model selection and inference after model selection

GMV (General Mesh Viewer) repository for GPLv3 source code, managed by CPFD Software.