# Vignettes and other documentation

## Vignettes from package 'glmbayes'

glmbayes::Chapter-00 |  | Chapter 00: Introduction | HTML | source | R code
glmbayes::Chapter-02 |  | Chapter 02: Estimating Bayesian Linear Models | HTML | source | R code
glmbayes::Chapter-03 |  | Chapter 03: Tailoring Priors - Leveraging the Prior_Setup Function | HTML | source | R code
glmbayes::Chapter-04 |  | Chapter 04: Reviewing Model Predictions, Deviance Residuals and Model Statistics | HTML | source | R code
glmbayes::Chapter-05 |  | Chapter 05: Foundations of GLMs – Families, Links, and Log-Concave Likelihoods | HTML | source |
glmbayes::Chapter-06 |  | Chapter 06: Estimating Bayesian Generalized Linear Models | HTML | source | R code
glmbayes::Chapter-07 |  | Chapter 07: Models for the Binomial Family | HTML | source | R code
glmbayes::Chapter-08 |  | Chapter 08: Models for the Poisson Family | HTML | source | R code
glmbayes::Chapter-09 |  | Chapter 09: Models for the Gamma Family | HTML | source | R code
glmbayes::Chapter-10 |  | Chapter 10: Informative Priors: Centering and priors with differentiated prior weights | HTML | source | R code
glmbayes::Chapter-11 |  | Chapter 11: Estimating Models with unknown dispersion parameters | HTML | source | R code
glmbayes::Chapter-12 |  | Chapter 12: Large Models: GPU Acceleration using OpenCL | HTML | source | R code
glmbayes::Chapter-13 |  | Chapter 13: Hierarchical Linear Models | HTML | source | R code
glmbayes::Chapter-14 |  | Chapter 14: Hierarchical Generalized Linear 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
glmbayes::Chapter-01 |  | Chapter 01: Getting started with glmbayes | HTML | source |