Bayesian analysis + tidy data + geoms (R package)
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Updated
Sep 17, 2024 - R
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 **Superseded by the models-by-example repo**.
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
An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
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
Reproducible Bayesian data analysis pipelines with targets and JAGS
Health economic evaluations from individual level data with missing values using a set of pre-defined Bayesian models written in BUGS. A series of parametric models are available to jointly model partially-observed effectiveness and cost outcomes under both ignorable and nonignroable missing data mechanism assumptions
Comparison of different implementations of the same stochastic volatility model (stochvol, JAGS, Stan)
R package for Bayesian inference with interacting particle systems
Analisi dei voti degli studenti italiani a partire dai dati dell'OECD-Pisa tramite approccio Bayesiano - Analysis of italian students' evaluation of OECD-Pisa dataset with a Bayesian approach
A repository to store the docker container for the practicals at VIBASS 7
Probabilistic Matrix Factorization with JAGS in R
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