Package: Qest 1.0.1

Qest: Quantile-Based Estimator

Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its quantile function. Q-estimators are usually more robust than standard maximum likelihood estimators. The method is described in: Sottile G. and Frumento P. (2022). Robust estimation and regression with parametric quantile functions. <doi:10.1016/j.csda.2022.107471>.

Authors:Gianluca Sottile [aut, cre], Paolo Frumento [aut]

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Qest.pdf |Qest.html
Qest/json (API)

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

Peer review:

On CRAN:

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

fortran

1.00 score 197 downloads 21 exports 68 dependencies

Last updated 1 years agofrom:24085abc56. Checks:7 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-win-x86_64NOTEJan 30 2025
R-4.5-mac-x86_64NOTEJan 30 2025
R-4.5-mac-aarch64NOTEJan 30 2025
R-4.5-linux-x86_64NOTEJan 30 2025
R-4.4-win-x86_64OKJan 30 2025
R-4.4-mac-x86_64OKJan 30 2025
R-4.4-mac-aarch64OKJan 30 2025
R-4.3-win-x86_64OKJan 30 2025
R-4.3-mac-x86_64OKJan 30 2025
R-4.3-mac-aarch64OKJan 30 2025

Exports:basehaz.QcoxphinvQpredict.Qcoxphprint.Qcoxphprint.QestQcoxphQcoxph.controlQestQest.controlQgammaQlmQlm.fitQnormQpoisQunifresiduals.Qcoxphsummary.Qcoxphsummary.Qestsummary.Qlmsurvfit.Qcoxphwtrunc

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellnlmennetpchpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml