A tool-box for prior elicitation.
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Updated
May 9, 2024 - Python
A tool-box for prior elicitation.
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.
Efficient grid-based evaluation of probability distributions
Bayesian Data Analysis demos for R
priorsense: an R package for prior diagnostics and sensitivity
This is the development site for an Integrated Population Model for chum salmon in the lower Columbia River.
Tools for Developing R Packages Interfacing with Stan
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Bayesian analysis + tidy data + geoms (R package)
My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.
RStan, the R interface to Stan
rstanarm R package for Bayesian applied regression modeling
Notes for the jointprob group
An R package providing a GUI ('shiny' app) for the R package 'brms'.
iwmm: an R package for adaptive importance sampling
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…
Development site for an integrated population model for Auke Creek coho salmon
Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".
rstanarm R package for Bayesian applied regression modeling
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