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errum: Exploratory Reduced Reparameterized Unified Model Estimation

Perform a Bayesian estimation of the exploratory reduced reparameterized unified model (ErRUM) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

Version: 0.0.3
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.200)
Suggests: simcdm
Published: 2020-03-20
DOI: 10.32614/CRAN.package.errum
Author: James Joseph Balamuta ORCID iD [aut, cre, cph], Steven Andrew Culpepper ORCID iD [aut, cph], Jeffrey A. Douglas [aut]
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/tmsalab/errum/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tmsalab/errum
NeedsCompilation: yes
Language: en-US
Citation: errum citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: errum results

Documentation:

Reference manual: errum.pdf

Downloads:

Package source: errum_0.0.3.tar.gz
Windows binaries: r-devel: errum_0.0.3.zip, r-release: errum_0.0.3.zip, r-oldrel: errum_0.0.3.zip
macOS binaries: r-release (arm64): errum_0.0.3.tgz, r-oldrel (arm64): errum_0.0.3.tgz, r-release (x86_64): errum_0.0.3.tgz, r-oldrel (x86_64): errum_0.0.3.tgz
Old sources: errum archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=errum to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.