Package: ssrhom 0.0.3.9002

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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NEWS

# 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:

bayesian-statisticshierarchical-modelsmcmcsingle-case-designstancpp

2.30 score 3 scripts 3 exports 55 dependencies

Last updated 5 months agofrom:479daa0abb. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-win-x86_64NOTEFeb 15 2025
R-4.5-mac-aarch64NOTEFeb 15 2025
R-4.5-linux-x86_64NOTEFeb 15 2025
R-4.4-win-x86_64NOTEFeb 15 2025
R-4.4-mac-aarch64NOTEFeb 15 2025
R-4.3-win-x86_64NOTEFeb 15 2025
R-4.3-mac-aarch64NOTEFeb 15 2025

Exports:ssrhom_get_effectssrhom_list_statsssrhom_model_ab

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsscalessplines2StanHeaderstensorAtibbleutf8vctrsviridisLitewithr