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