Package: qrcm 3.1

Paolo Frumento

qrcm: Quantile Regression Coefficients Modeling

Parametric modeling of quantile regression coefficient functions.

Authors:Paolo Frumento <[email protected]>

qrcm_3.1.tar.gz
qrcm_3.1.tar.gz(r-4.5-noble)qrcm_3.1.tar.gz(r-4.4-noble)
qrcm_3.1.tgz(r-4.4-emscripten)qrcm_3.1.tgz(r-4.3-emscripten)
qrcm.pdf |qrcm.html
qrcm/json (API)
NEWS

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

Peer review:

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

1.78 score 2 packages 8 scripts 252 downloads 7 exports 75 dependencies

Last updated 9 months agofrom:63a5d33f02. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linuxOKNov 10 2024

Exports:diagnose.qciqriqrLplfqc.controlslptest.fit

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodacodetoolscolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsicenRegisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeMLEcensmunsellnlmennetpchpillarpkgconfigR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml