In DataScienceSalon/Bayesian-Regression: Bayesian Linear Regression and Default Priors

Appendix

Appendix A: Functions Overview

r kfigr::figr(label = "functions", prefix = TRUE, link = TRUE, type="Table"): Package functions

functions <- read.csv(file = "../vignettes/figs_tables/functions.csv")
functions <- functions %>% select(Function, Description)
knitr::kable(functions) %>%
  kableExtra::kable_styling(bootstrap_options = c("hover", "condensed", "responsive"), full_width = T, position = "center") %>%
  kableExtra::group_rows("Data", 1,1) %>%
  kableExtra::group_rows("Exploratory Data Analysis", 2,9) %>%
  kableExtra::group_rows("Models", 10,23) %>%
  kableExtra::group_rows("Predictions", 24,24) %>%
  kableExtra::group_rows("All", 25,25)

The primary functions are outlined below. The complete source code is available at https://github.com/DataScienceSalon/Bayesian-Regression.

Appendix B: Data Function (Preprocessing)

r kfigr::figr(label = "a-preprocess", prefix = TRUE, link = TRUE, type="Code"): Preprocessing function

Appendix C: Bayesian Model Averaging

r kfigr::figr(label = "a-bma", prefix = TRUE, link = TRUE, type="Code"): Bayesian model averaging function

Appendix D: Bayesian Prediction

r kfigr::figr(label = "a-bmaPredict", prefix = TRUE, link = TRUE, type="Code"): Bayesian prediction function

DataScienceSalon/Bayesian-Regression documentation built on May 29, 2019, 12:06 a.m.