The DABOM compendium can be downloaded as a zip from from this URL: https://github.com/BiomarkABS/DABOM/archive/master.zip

Or the user can install the compendium as an R package from GitHub by using Hadley Wickham's devtools package:

# install and load remotes, if necessary
install.packages("devtools")
devtools::install_github("KevinSee/DABOM", 
                         build_vignettes = TRUE)

devtools may require the downloading and installation of Rtools. The latest version of Rtools can be found here.

For the latest development version:

devtools::install_github("KevinSee/DABOM@develop")

JAGS Software

The user will also need the JAGS software to run DABOM. They can download that from SourceForge. JAGS (Just Another Gibbs Sampler) software is used by DABOM for Bayesian inference. Please download version >= 4.0.0.

Other R Packages

The user will also need to install tidyverse, a series of R packages that work together for data science (i.e. data cleaning and manipulation), as well as the rjags package to interface with JAGS. The tidyverse and rjags packages are all available from the R community and can be installed by typing the following into your R console:

install.packages("tidyverse")
install.packages("rjags")


KevinSee/DABOM documentation built on April 4, 2024, 9:28 a.m.