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 343 downloads 1 exports 4 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK117
linux-devel-x86_64OK127
source / vignettesOK219
linux-release-arm64OK125
linux-release-x86_64OK146
macos-release-arm64OK127
macos-release-x86_64OK186
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK140
windows-devel-arm64OK217
windows-devel-x86_64OK132
windows-release-arm64OK212
windows-release-x86_64OK97
windows-oldrel-x86_64OK93
wasm-releaseOK123

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm