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BayesianLearningCode

BayesianLearningCode provides R code to reproduce (most of the) examples in a future book.

Typical use case

Click on Articles on top of the page to view the R code.

Installation

If for some reason (e.g., because you would like to have access to the data sets) you'd like to have the entire package on your computer, you can do so by installing the development version of BayesianLearningCode from GitHub with:

install.packages("pak")
pak::pak("gregorkastner/BayesianLearningCode")

Another variant (for Sylvia's course)

# First, install the dependencies from CRAN
install.packages(c("corrplot", "robustbase", "stochvol", "mvtnorm",
                   "pgdraw", "coda", "numDeriv", "RColorBrewer", "gsl",
                   "knitr", "rmarkdown"))

# For Windows users: Install the pre-built package directly
install.packages(
  "https://github.com/gregorkastner/BayesianLearningCode/releases/download/v0.0.1/BayesianLearningCode_0.0.1.zip",
  repos = NULL,
  type = "win.binary"
)

# Alternatively: Install the source file from github (may throw warnings)
install.packages(
  "https://github.com/gregorkastner/BayesianLearningCode/releases/download/v0.0.1/BayesianLearningCode_0.0.1.tar.gz",
  repos = NULL,
  type = "source"
)