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-x86_64)rrum_0.2.2.zip(r-4.7-arm64)rrum_0.2.2.zip(r-4.6-x86_64)rrum_0.2.2.zip(r-4.6-arm64)rrum_0.2.2.zip(r-4.5-x86_64)
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:

Conda:

armadillocdmcognitive-diagnostic-modelsgibbs-sampling-algorithmpsychometricsrcpparmadillorrumopenblascppopenmp

2.70 score 3 scripts 459 downloads 1 exports 4 dependencies

Last updated from:51a533c668. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK111
source / vignettesOK252
linux-release-arm64OK114
linux-release-x86_64OK107
macos-release-arm64OK100
macos-release-x86_64OK246
macos-oldrel-arm64OK93
macos-oldrel-x86_64OK244
windows-devel-arm64OK197
windows-devel-x86_64OK161
windows-release-arm64OK212
windows-release-x86_64OK127
windows-oldrel-x86_64OK111
wasm-releaseOK92

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm