rrum: Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling

Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) <doi:10.1177/0146621617707511>.

Version: 0.2.1
Depends: R (≥ 4.1.0), simcdm (≥ 0.1.0)
Imports: Rcpp (≥ 1.0.11)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.12.6.6.0), rgen, simcdm
Suggests: testthat, covr
Published: 2023-11-29
Author: Steven Andrew Culpepper ORCID iD [aut, cph], Aaron Hudson ORCID iD [aut, cph], James Joseph Balamuta ORCID iD [aut, cph, cre]
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/tmsalab/rrum/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://tmsalab.github.io/rrum/, https://github.com/tmsalab/rrum
NeedsCompilation: yes
Citation: rrum citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: rrum results

Documentation:

Reference manual: rrum.pdf

Downloads:

Package source: rrum_0.2.1.tar.gz
Windows binaries: r-devel: rrum_0.2.1.zip, r-release: rrum_0.2.1.zip, r-oldrel: rrum_0.2.1.zip
macOS binaries: r-release (arm64): rrum_0.2.1.tgz, r-oldrel (arm64): rrum_0.2.1.tgz, r-release (x86_64): rrum_0.2.1.tgz
Old sources: rrum archive

Reverse dependencies:

Reverse enhances: CDM

Linking:

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