# Vignettes and other documentation

## Vignettes from package 'glmbayes'

glmbayes::Chapter-00 |  | Chapter 00: Introduction | HTML | source | R code
glmbayes::Chapter-01 |  | Chapter 01: Getting started with glmbayes | HTML | source | R code
glmbayes::Chapter-02-S01 |  | Chapter 02-S01: Conjugate Models — Introduction and Overview | HTML | source | R code
glmbayes::Chapter-02-S02 |  | Chapter 02-S02: Normal–Normal Conjugacy for One Mean | HTML | source | R code
glmbayes::Chapter-02-S03 |  | Chapter 02-S03: Beta–Binomial Conjugacy for One Proportion | HTML | source | R code
glmbayes::Chapter-02-S04 |  | Chapter 02-S04: Gamma–Poisson Conjugacy for One Count Rate | HTML | source | R code
glmbayes::Chapter-02-S05 |  | Chapter 02-S05: Gamma–Gamma Conjugacy for One Response Rate | HTML | source | R code
glmbayes::Chapter-03 |  | Chapter 03: Estimating Bayesian linear models | HTML | source | R code
glmbayes::Chapter-04 |  | Chapter 04: Tailoring priors — leveraging the Prior_Setup function | HTML | source | R code
glmbayes::Chapter-05 |  | Chapter 05: Model predictions and posterior predictive checks (+ bayesplot ppc_*) | HTML | source | R code
glmbayes::Chapter-06 |  | Chapter 06: Deviance residuals, model statistics and posterior inference (+ bayestestR) | HTML | source | R code
glmbayes::Chapter-07 |  | Chapter 07: Foundations of GLMs — families, links, and log-concave likelihoods | HTML | source |
glmbayes::Chapter-08 |  | Chapter 08: Estimating Bayesian generalized linear models | HTML | source | R code
glmbayes::Chapter-09 |  | Chapter 09: Models for the Binomial family | HTML | source | R code
glmbayes::Chapter-10 |  | Chapter 10: Models for the Poisson family | HTML | source | R code
glmbayes::Chapter-11 |  | Chapter 11: Models for the Gamma family | HTML | source | R code
glmbayes::Chapter-12 |  | Chapter 12: Visualizing posteriors with bayesplot | HTML | source | R code
glmbayes::Chapter-13 |  | Chapter 13: Bayesian inference and decision making with bayestestR | HTML | source | R code
glmbayes::Chapter-14 |  | Chapter 14: Informative priors — centering and differential prior weights | HTML | source | R code
glmbayes::Chapter-15 |  | Chapter 15: Estimating models with unknown dispersion parameters | HTML | source | R code
glmbayes::Chapter-16 |  | Chapter 16: Large models — GPU acceleration using OpenCL | HTML | source | R code
glmbayes::Chapter-17 |  | Chapter 17: Linear mixed-effects models | HTML | source | R code
glmbayes::Chapter-18 |  | Chapter 18: Generalized linear mixed-effects models | HTML | source | R code
glmbayes::Chapter-A01 |  | Chapter A01: A detailed overview of the glmbayes package | HTML | source | R code
glmbayes::Chapter-A02 |  | Chapter A02: Overview of Estimation Procedures | HTML | source | R code
glmbayes::Chapter-A03 |  | Chapter A03: Methods available in glmbayes | HTML | source | R code
glmbayes::Chapter-A04 |  | Chapter A04: Directional Tail Diagnostics for Prior-Posterior Disagreement | HTML | source | R code
glmbayes::Chapter-A05 |  | Chapter A05: Simulation Methods - Likelihood Subgradient Densities | HTML | source | R code
glmbayes::Chapter-A06 |  | Chapter A06: Accept–Reject Sampling for Dispersion in Gamma Regression | HTML | source | R code
glmbayes::Chapter-A07 |  | Chapter A07: Accept–Reject Sampling for gaussian Regression models with independent normal-gamma priors | HTML | source | R code
glmbayes::Chapter-A08 |  | Chapter A08: Overview of Envelope Related Functions | HTML | source | R code
glmbayes::Chapter-A09 |  | Chapter A09: Parallel Sampling Implementation using RcppParallel | HTML | source | R code
glmbayes::Chapter-A10 |  | Chapter A10: Accelerated EnvelopeBuild Implementation using OpenCL | HTML | source | R code
glmbayes::Chapter-A11 |  | Chapter A11: Implementation Companion for Independent Normal-Gamma | HTML | source | R code
glmbayes::Chapter-A12 |  | Chapter A12: Technical Derivations for Priors Returned by `Prior_Setup() | HTML | source | R code