Package: RaschSampler 0.8-10

RaschSampler: Rasch Sampler

MCMC based sampling of binary matrices with fixed margins as used in exact Rasch model tests.

Authors:Patrick Mair [cre, aut], Reinhold Hatzinger [aut], Norman D. Verhelst [aut]

RaschSampler_0.8-10.tar.gz
RaschSampler_0.8-10.zip(r-4.7)RaschSampler_0.8-10.zip(r-4.6)RaschSampler_0.8-10.zip(r-4.5)
RaschSampler_0.8-10.tgz(r-4.6-x86_64)RaschSampler_0.8-10.tgz(r-4.6-arm64)RaschSampler_0.8-10.tgz(r-4.5-x86_64)RaschSampler_0.8-10.tgz(r-4.5-arm64)
RaschSampler_0.8-10.tar.gz(r-4.7-arm64)RaschSampler_0.8-10.tar.gz(r-4.7-x86_64)RaschSampler_0.8-10.tar.gz(r-4.6-arm64)RaschSampler_0.8-10.tar.gz(r-4.6-x86_64)
RaschSampler_0.8-10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RaschSampler/json (API)

# Install 'RaschSampler' in R:
install.packages('RaschSampler', repos = c('https://pmair78.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

1.18 score 15 scripts 269 downloads 6 exports 0 dependencies

Last updated from:2e5c5e2630. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK107
source / vignettesOK140
linux-release-arm64OK95
linux-release-x86_64OK100
macos-release-arm64OK95
macos-release-x86_64OK244
macos-oldrel-arm64OK69
macos-oldrel-x86_64OK212
windows-develOK83
windows-releaseOK101
windows-oldrelOK68
wasm-releaseOK92

Exports:phi.rangersamplerrsctrlrsextrmatrsextrobjrstats

Dependencies: