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: 0.2.0
Depends: R (≥ 3.4.0), simcdm (≥ 0.1.0)
Imports: Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.200), rgen, simcdm
Suggests: testthat, covr
Published: 2019-02-11
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Citation: rrum citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: rrum results


Reference manual: rrum.pdf


Package source: rrum_0.2.0.tar.gz
Windows binaries: r-devel: rrum_0.2.0.zip, r-release: rrum_0.2.0.zip, r-oldrel: rrum_0.2.0.zip
macOS binaries: r-release (arm64): rrum_0.2.0.tgz, r-oldrel (arm64): rrum_0.2.0.tgz, r-release (x86_64): rrum_0.2.0.tgz, r-oldrel (x86_64): rrum_0.2.0.tgz

Reverse dependencies:

Reverse enhances: CDM


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