Package: rrum 0.2.2

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_0.2.2.tar.gz
rrum_0.2.2.zip(r-4.7)rrum_0.2.2.zip(r-4.6)rrum_0.2.2.zip(r-4.5)
rrum_0.2.2.tgz(r-4.6-x86_64)rrum_0.2.2.tgz(r-4.6-arm64)rrum_0.2.2.tgz(r-4.5-x86_64)rrum_0.2.2.tgz(r-4.5-arm64)
rrum_0.2.2.tar.gz(r-4.7-arm64)rrum_0.2.2.tar.gz(r-4.7-x86_64)rrum_0.2.2.tar.gz(r-4.6-arm64)rrum_0.2.2.tar.gz(r-4.6-x86_64)
rrum_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs 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 488 downloads 1 exports 4 dependencies

Last updated from:51a533c668. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	118
linux-devel-x86_64	OK	106
source / vignettes	OK	181
linux-release-arm64	OK	118
linux-release-x86_64	OK	116
macos-release-arm64	OK	106
macos-release-x86_64	OK	166
macos-oldrel-arm64	OK	77
macos-oldrel-x86_64	OK	157
windows-devel	OK	110
windows-release	OK	110
windows-oldrel	OK	90
wasm-release	OK	99