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]

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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

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

1 exports 2.70 score 4 dependencies 3 scripts 194 downloads

Last updated 10 months agofrom:d158c89867. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 11 2024
R-4.5-win-x86_64	OK	Sep 11 2024
R-4.5-linux-x86_64	OK	Sep 11 2024
R-4.4-win-x86_64	OK	Sep 11 2024
R-4.4-mac-x86_64	OK	Sep 11 2024
R-4.4-mac-aarch64	OK	Sep 11 2024
R-4.3-win-x86_64	OK	Sep 11 2024
R-4.3-mac-x86_64	OK	Sep 11 2024
R-4.3-mac-aarch64	OK	Sep 11 2024