{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
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Updated
Jul 25, 2024 - R
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
The JAGS Module
Reproducible Bayesian data analysis pipelines with targets and JAGS
A repository to store the docker container for the practicals at VIBASS 7
Spatial analysis and modelling from traffic accidents in New Zealand.
Bayesian analysis + tidy data + geoms (R package)
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
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.
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"
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
An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data
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