Package: ugcflss 0.1.2.9001

James Uanhoro

ugcflss: Unadjusted Group Comparisons For Likert Sum Scores

Performs unadjusted group comparisons for data that are sum scores of several Likert items, and produces plots that help describe patterns in the data. Models rely on Bayesian regularization and hierarchical ordinal regression. Regularization and hierarchical modeling help with stabilizing model parameters and inference about quantities of interest. Ordinal regression helps with describing the distribution of the data accurately.

Authors:James Uanhoro [aut, cre]

ugcflss_0.1.2.9001.tar.gz
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ugcflss_0.1.2.9001.tgz(r-4.4-arm64)ugcflss_0.1.2.9001.tgz(r-4.3-arm64)
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ugcflss.pdf |ugcflss.html
ugcflss/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.00 score 2 scripts 11 exports 64 dependencies

Last updated 3 months agofrom:b59fb4c164. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-win-x86_64NOTEOct 15 2024
R-4.5-linux-x86_64NOTEOct 15 2024
R-4.4-win-x86_64NOTEOct 15 2024
R-4.4-mac-aarch64NOTEOct 15 2024
R-4.3-win-x86_64NOTEOct 15 2024
R-4.3-mac-aarch64NOTEOct 15 2024

Exports:ugcflss_describeugcflss_describe_plotugcflss_exceed_allugcflss_exceed_all_plotugcflss_exceed_groupugcflss_exceed_group_plotugcflss_fit_modelugcflss_pairwiseugcflss_pairwise_plotugcflss_ppdugcflss_ppd_plot

Dependencies:abindbackportsbayesplotBHcallrcheckmateclicolorspacedata.tabledescdistributionaldplyrfansifarvergenericsggplot2ggridgesgluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2rlangrstanrstantoolsscalessplines2StanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr

How to use ugcflss

Rendered fromugcflss_tutorial.Rmdusingknitr::rmarkdownon Oct 15 2024.

Last update: 2024-08-15
Started: 2024-08-12