Package: rrum 0.2.1

James Joseph Balamuta

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>.

Authors:Steven Andrew Culpepper [aut, cph], Aaron Hudson [aut, cph], James Joseph Balamuta [aut, cph, cre]

rrum_0.2.1.tar.gz
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rrum.pdf |rrum.html✨
rrum/json (API)
NEWS

# Install 'rrum' in R:

install.packages('rrum', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/rrum/issues

Pkgdown site:https://tmsalab.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

armadillo cdm cognitive-diagnostic-models gibbs-sampling-algorithm psychometrics rcpparmadillo rrum openblas cpp openmp

2.70 score 3 scripts 221 downloads 1 exports 4 dependencies

Last updated 1 years agofrom:d158c89867. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 09 2025
R-4.5-win-x86_64	OK	Jan 09 2025
R-4.5-linux-x86_64	OK	Jan 09 2025
R-4.4-win-x86_64	OK	Jan 09 2025
R-4.4-mac-x86_64	OK	Jan 09 2025
R-4.4-mac-aarch64	OK	Jan 09 2025
R-4.3-win-x86_64	OK	Jan 09 2025
R-4.3-mac-x86_64	OK	Jan 09 2025
R-4.3-mac-aarch64	OK	Jan 09 2025