Package: PResiduals 1.0-1

Chun Li

PResiduals: Probability-Scale Residuals and Residual Correlations

Computes probability-scale residuals and residual correlations for continuous, ordinal, binary, count, and time-to-event data <doi:10.18637/jss.v094.i12>.

Authors:Charles Dupont, Jeffrey Horner, Chun Li, Qi Liu, Bryan Shepherd

PResiduals_1.0-1.tar.gz
PResiduals_1.0-1.tar.gz(r-4.5-noble)PResiduals_1.0-1.tar.gz(r-4.4-noble)
PResiduals_1.0-1.tgz(r-4.4-emscripten)
PResiduals.pdf |PResiduals.html
PResiduals/json (API)

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

Peer review:

Datasets:
  • PResidData - Example Dataset for PResiduals Package

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

2.81 score 2 stars 64 scripts 284 downloads 5 mentions 9 exports 77 dependencies

Last updated 4 years agofrom:0adf22de29. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxNOTENov 20 2024

Exports:cobotcocobotconditional_SpearmancountbotdiagnGKGammamegabotpartial_Spearmanpresid

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemultcompmunsellmvtnormnlmennetpillarpkgconfigpolsplinequantregR6rappdirsRColorBrewerrlangrmarkdownrmsrpartrstudioapisandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo