jags

Bayesian analysis + tidy data + geoms (R package)

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

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

Material for a workshop on Bayesian stats with R

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

Bayesian estimation of the finishing skill of football players

Material for a Bayesian statistics workshop

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

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Slides and code for the Stable Isotope Mixing Models course given by Andrew Parnell and Andrew Jackson

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.

An introduction to hierarchical Bayesian modelling with R, JAGS and STAN

農研機構統計研修「ベイズ統計モデリングとMCMC」

Bayesian State-space models for Animal Movement

Julia package for using Jags as an external program

Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)

The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.

Framework for conducting Bayesian analyses

Markov Chain Monte Carlo binary network optimization