Exploratory Reduced Reparameterized Unified Model Estimation

Perform a Bayesian estimation of the exploratory reduced reparameterized unified model (ErRUM) described by Culpepper and Chen (2018) .

errum

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (‘ErRUM’) described by Culpepper and Chen (2018).

Installation

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")

Usage

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)

Authors

James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey A. Douglas

Citing the errum package

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")

License

GPL (>= 2)