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18 search results found

RStan, the R interface to Stan

Tidybayes ⭐ 689

Bayesian analysis + tidy data + geoms (R package)

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Rstanarm ⭐ 371

rstanarm R package for Bayesian applied regression modeling

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

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

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Bayes Vis Paper ⭐ 49

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Priorsense ⭐ 44

priorsense: an R package for prior diagnostics and sensitivity

Rstantools ⭐ 44

Tools for Developing R Packages Interfacing with Stan

Bayesian multilevel mediation models in 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 others ("comparators"). Produces many summary and plots to analyse the results

Statistical Rethinking Solutions ⭐ 26

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".

Framework for conducting Bayesian analyses

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.

Shinybrms ⭐ 7

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

This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.

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