Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (‘ErRUM’) described by Culpepper and Chen (2018).
You can install errum from CRAN using:
install.packages("errum")Or, you can be on the cutting-edge development version on GitHub using:
if(!requireNamespace("remotes")) install.packages("remotes")
remotes::install_github("tmsalab/errum")To use the errum package, load it into R
using:
library("errum")From there, the errum model can be estimated using:
errum_model = errum(<data>, <k>, chain_length = 10000)James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey A. Douglas
To ensure future development of the package, please cite
errum package if used during an analysis or simulation
studies. Citation information for the package may be acquired by using
in R:
citation("errum")GPL (>= 2)