Package: ssrhom 0.0.3.9003

James Uanhoro

ssrhom: Hierarchical ordinal models for analyzing single subject designs

Hierarchical ordinal models for analyzing single subject designs using Bayesian models fit with Stan.

Authors:James Uanhoro [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ssrhom/json (API)

# Install 'ssrhom' in R:
install.packages('ssrhom', repos = c('https://jamesuanhoro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jamesuanhoro/ssrhom/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • tasky - Dataset from Tasky et al.

On CRAN:

Conda:

bayesian-statisticshierarchical-modelsmcmcsingle-case-designstancpp

1.70 score 3 scripts 3 exports 50 dependencies

Last updated from:78f833949c. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE266
linux-devel-x86_64NOTE281
source / vignettesOK289
linux-release-arm64NOTE263
linux-release-x86_64NOTE278
macos-release-arm64NOTE152
macos-release-x86_64NOTE475
macos-oldrel-arm64NOTE221
macos-oldrel-x86_64NOTE344
windows-develNOTE318
windows-releaseNOTE332
windows-oldrelNOTE326
wasm-releaseFAIL152

Exports:ssrhom_get_effectssrhom_list_statsssrhom_model_ab

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsS7scalessplines2StanHeaderstensorAtibbleutf8vctrsviridisLitewithr