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")
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.
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")
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