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RStan, the R interface to Stan

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Bayesplot ⭐ 402

bayesplot R package for plotting Bayesian models

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Posterior ⭐ 155

The posterior R package

The base NIMBLE package for R

Cmdstanr ⭐ 126

CmdStanR: the R interface to CmdStan

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Bayesiantools ⭐ 103

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Covid19_cfr_submission ⭐ 69

Repository for all scripts required to replicate the CFR analysis for paper submission.

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Dirichletprocess ⭐ 53

Build dirichletprocess objects for data analysis

BAS R package https://merliseclyde.github.io/BAS/

Spatialreg ⭐ 40

spatialreg: spatial models estimation and testing

Bayesian Generalized Linear Models with Time-Varying Coefficients

Bayesian Inference of State Space Models

Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results

Bbsbayes ⭐ 30

An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data

Bvartools ⭐ 27

Functions for Bayesian inference of vector autoregressive and vector error correction models

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

R We There Yet?

Bayesian_tutorial ⭐ 25

Tutorial on Bayesian phylogenetic analysis

sgmcmc: a stochastic gradient MCMC package for R

Bayesian_workshop ⭐ 21

Material for a Bayesian statistics workshop

Fast, tidy functions for mcmc diagnostics and summaries, built with data.table

An R package to manipulate MCMC samples

Markov Chain Monte Carlo Mcmc ⭐ 16

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

Mplnclust ⭐ 15

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

An R package for NUTS sampling using ADMB

Laplacesdemon ⭐ 13

A complete environment for Bayesian inference within R

A friendly MCMC framework

R package mcmc (public version on CRAN)

Dirfactor ⭐ 13

Mcmc Examples ⭐ 13

Simple examples of Monte Carlo and MCMC

An R package to manipulate the names of parameters terms

Ahmnimble ⭐ 10

Examples from Kéry & Royle's "Applied Hierarchical Modeling in Ecology (Volume I)" converted to NIMBLE

This package implements MCMC random walks in the intersection of the n-simplex and hyperplanes

starmie: plotting and inference for population structure models 🌟

Framework for conducting Bayesian analyses

Markov chain Monte Carlo Standard Errors

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Jaggernaut ⭐ 8

An R package to perform Bayesian analyses using JAGS (Just Another Gibbs Sampler).

Stochastic Volatility Models ⭐ 8

R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"

Hdinterval ⭐ 8

Highest (Posterior) Density Intervals

Bayesian Logistic Regression with Hyper-LASSO priors

R list package for analyzing list experiments, also known as the item count technique

Speedyfit ⭐ 7

Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

Data Cloning and MCMC Tools for Maximum Likelihood Methods

Ratematrix ⭐ 7

Bayesian estimation of the evolutionary rate matrix.

Bayesgarch ⭐ 7

Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations

Hierarchical ⭐ 7

occupancy models with NIMBLE

Bayesrecipe ⭐ 7

Bayesian Reciprocal Regularization

MOI and Allele Frequency Recovery from Noisy Polyallelic Genetics Data

Bayesian Principal Components Analysis (bPCA)

Shinybrms ⭐ 7

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Networktomography ⭐ 6

R package for network tomography

Mixturemodels ⭐ 6

MCMC for Dirichlet Process mixture models

An R package of helper functions for Bayesian analyses

Eatmyshorts ⭐ 6

Visualisation methods and functions for exploring Bayesian Additive Regression Trees

An R package for Automatic Differentiation

Structmcmc ⭐ 6

A set of tools for performing structural inference for Bayesian Networks using MCMC in R

Skygrowth ⭐ 6

Phylodynamic inference

Variability assessment for simulation methods in R

A fully Bayesian, CUDA-accelerated method of analyzing RNA-seq data

Revdbayes ⭐ 5

Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis

Dynamic Shrinkage Processes

Code for the paper Livingstone and Zanella (2019) "On the robustness of gradient-based MCMC"

Laplacesdemon ⭐ 5

A complete environment for Bayesian inference within R

R package for estimating political networks

Mortality Statsmodel ⭐ 5

Mortality using bayesian hierarchical modelling

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

An R package for biomarker discovery using Bayesian models implemented in Stan

Parallelized version of the R2WinBUGS library of R

Stansurvivalboilerplate ⭐ 5

A repository of minimal-working-example survival models with arbitrary hazard rates, implemented in Stan.

Scalable Bayes via Barycenter in Wasserstein Space

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