stan
There are 436 repositories under stan topic.
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
stan-dev/rstan
RStan, the R interface to Stan
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
stan-dev/pystan2
PyStan, the Python interface to Stan
stan-dev/math
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
mjskay/tidybayes
Bayesian analysis + tidy data + geoms (R package)
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
perlatex/R_for_Data_Science
Materials for teaching R and tidyverse
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
storopoli/Bayesian-Statistics
Bayesian statistics graduate course
stan-dev/stancon_talks
Materials from Stan conferences
StanJulia/Stan.jl
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
MatsuuraKentaro/RStanBook
『StanとRでベイズ統計モデリング』のサポートページです.
stan-dev/shinystan
shinystan R package and ShinyStan GUI
m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
nats-io/nats-streaming-operator
NATS Streaming Operator
avehtari/modelselection
Case studies on model assessment, model selection and inference after model selection
betanalpha/knitr_case_studies
Inference case studies in knitr
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
lei-zhang/BayesCog_Wien
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
epiforecasts/EpiNow2
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
SciML/DiffEqBayes.jl
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
luisdamiano/gsoc17-hhmm
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
julianfaraway/rexamples
worked R examples
stan-dev/projpred
Projection predictive variable selection
xfim/ggmcmc
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
roualdes/bridgestan
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
vasishth/bayescogsci
Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
node/turn-client
STUN & TURN client demo and api with python and C
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.