RStan, the R interface to Stan
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Jul 19, 2025 - R
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bayesian-data-analysis
Here are 40 public repositories matching this topic...
Bayesian analysis + tidy data + geoms (R package)
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Sep 17, 2024 - R
rstanarm R package for Bayesian applied regression modeling
r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling
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May 27, 2025 - R
shinystan R package and ShinyStan GUI
r bayesian-methods bayesian bayesian-inference stan r-package shiny-apps statistical-graphics mcmc bayesian-data-analysis bayesian-statistics
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Jan 15, 2025 - R
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
cross-validation bayesian-methods bayesian bayesian-inference stan bayes r-package bayesian-data-analysis bayesian-statistics model-comparison information-criterion
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Jun 30, 2025 - R
priorsense: an R package for prior diagnostics and sensitivity
r bayesian-methods bayesian stan bayes r-package sensitivity-analysis bayesian-data-analysis prior-distribution
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Jul 28, 2025 - R
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
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Oct 18, 2018 - R
Tools for Developing R Packages Interfacing with Stan
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Jul 24, 2025 - R
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 othe…
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Jul 28, 2025 - R
Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".
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Apr 16, 2025 - R
My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.
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Oct 29, 2022 - R
Hierarchical Model of Species Communities (HMSC) is an R package, which provides extensive set of analytical tools devised for numerical analysis of data on ecological communities or other similarly structured data. The methodological core of the HMSC approach is centered on combination of hierarchical regression and latent factor models.
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Mar 3, 2019 - R
An R package providing a GUI ('shiny' app) for the R package 'brms'.
gui r statistics shiny statistical-analysis statistical-inference rstan bayesian bayesian-inference stan brms bayes r-package mcmc bayesian-data-analysis bayesian-statistics statistical-models shiny-app cmdstanr
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Jan 13, 2025 - R
Framework for conducting Bayesian analyses
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Feb 22, 2022 - R
iwmm: an R package for adaptive importance sampling
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Sep 8, 2024 - R
Code & data necessary to reproduce the analyses described in Scheuerell et al.
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Mar 8, 2021 - R
rstanarm R package for Bayesian applied regression modeling
r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling ltjmm latent-time-joint-mixed-models
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Jan 21, 2024 - R
This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.
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Feb 4, 2021 - R
Applies Bayesian techniques for analysing various factors that can influence a UK university's graduate prospects rating from the HESA SFR247 and Complete University Guide table.
linear-regression bayesian-data-analysis jags bayesian-statistics markov-chain-monte-carlo bayesian-analysis
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Dec 31, 2020 - R
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