Description
Exploratory Reduced Reparameterized Unified Model Estimation.
Description
Perform a Bayesian estimation of the exploratory reduced reparameterized unified model (ErRUM) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.
README.md
errum
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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)