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Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

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errum A hexagonal logo for errum: a solid punch card whose top edge steps down in four treads labelled π*, r*₁, r*₂ and r*₃, with beside each r* the hole that switches that penalty on, the first still holding an orange hanging chad, and the word errum cut out below.

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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)

About

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

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