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:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • tasky - Dataset from Tasky et al.

On CRAN:

Conda:

bayesian-statisticshierarchical-modelsmcmcsingle-case-designstanonetbbcpp

1.70 score 3 scripts 3 exports 50 dependencies

Last updated from:78f833949c. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE234
linux-develNOTE272
source / vignettesOK268
linux-releaseNOTE377
linux-releaseNOTE244
macos-releaseNOTE293
macos-releaseNOTE309
macos-oldrelNOTE318
macos-oldrelNOTE584
windows-develNOTE555
windows-develNOTE260
windows-releaseNOTE460
windows-releaseNOTE242
windows-oldrelNOTE190
wasm-releaseOK203

Exports:ssrhom_get_effectssrhom_list_statsssrhom_model_ab

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsS7scalessplines2StanHeaderstensorAtibbleutf8vctrsviridisLitewithr