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✨
DESCRIPTION |NEWS
card.svg |card.png
rrum/json (API)

# 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 553 downloads 1 exports 4 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	170
linux-devel-x86_64	OK	122
source / vignettes	OK	168
linux-release-arm64	OK	132
linux-release-x86_64	OK	123
macos-release-arm64	OK	91
macos-release-x86_64	OK	213
macos-oldrel-arm64	OK	95
macos-oldrel-x86_64	OK	202
windows-devel	OK	149
windows-release	OK	127
windows-oldrel	OK	133
wasm-release	OK	131