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 **Superseded by the models-by-example repo**.
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Updated
Nov 25, 2020 - R
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 **Superseded by the models-by-example repo**.
Bayesian analysis + tidy data + geoms (R package)
Material for a workshop on Bayesian stats with R
An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
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.
Bayesian estimation of the finishing skill of football players
The JAGS Module
Material for a Bayesian statistics workshop
農研機構統計研修「ベイズ統計モデリングとMCMC」
Illustrate how to fit dynamic occupancy model in TMB. Benchmarking vs. ADMB, Unmarked and JAGS.
Reproducible Bayesian data analysis pipelines with targets and JAGS
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Python and JAGS code and data associated with publication, "The latency of a visual evoked potential tracks the onset of decision making" (2019)
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