The JAGS Module
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Updated
May 23, 2024 - R
The JAGS Module
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Spatial analysis and modelling from traffic accidents in New Zealand.
Bayesian analysis + tidy data + geoms (R package)
Reproducible Bayesian data analysis pipelines with targets and JAGS
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
MCMC inference on Switching Linear Dynamical Systems, using Stan and JAGS
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.
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.
Multispecies occupancy models to investigate seasonal co-occurrence of predator-prey pairs and changes withing these co-occurrences.
Material for a workshop on Bayesian stats with R
Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.
Bayesian analysis and forecasting of Bitcoin volatility and definition of GARCH and ARCH models through MCMC sampling.
R/jags model code for hierarchical Bayesian quantile regression
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
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