RStan, the R interface to Stan
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Updated
May 20, 2024 - R
RStan, the R interface to Stan
Bayesian analysis + tidy data + geoms (R package)
rstanarm R package for Bayesian applied regression modeling
shinystan R package and ShinyStan GUI
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Tools for Developing R Packages Interfacing with Stan
priorsense: an R package for prior diagnostics and sensitivity
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…
Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".
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.
Framework for conducting Bayesian analyses
An R package providing a GUI ('shiny' app) for the R package 'brms'.
My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.
This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.
Code & data necessary to reproduce the analyses described in Scheuerell et al.
rstanarm R package for Bayesian applied regression modeling
iwmm: an R package for adaptive importance sampling
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.
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