Python wrapper for nuts-rs

BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.

Miscellaneous functions for Japanese mahjong

{gslnls}: GSL multi-start nonlinear least-squares fitting in R

R inside Python

🚀 R package: doFuture - Use Foreach to Parallelize via Future Framework

Turn your R code into a web API.

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

An extension of lookup multiple sites for Google Chrome

Causal Inference in R: A book!

Graphical analysis of structural causal models / graphical causal models.

Estimate Parameters for Arbitrary R Functions using 'Stan'

Conditional autoregressive models in Stan

Bayesian spatial analysis

Formulas for mixed-effects models in Python

Pre-compiled CmdStan models in R packages

Group Sequential Design Under Non-Proportional Hazards

A Maxima kernel for Jupyter, based on CL-Jupyter (Common Lisp kernel)

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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

nlmixr2

Mixed Models for Repeated Measures (MMRM) in R.

Text Alignment with Smith-Waterman

Repository for Introduction to Bayesian Estimation of Causal Effects

Fast Lane to Learning R!

Bayesian inference for Ruby, powered by CmdStan