Package: Qest 1.0.2

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]

Qest_1.0.2.tar.gz
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Qest_1.0.2.tgz(r-4.6-x86_64)Qest_1.0.2.tgz(r-4.6-arm64)Qest_1.0.2.tgz(r-4.5-x86_64)Qest_1.0.2.tgz(r-4.5-arm64)
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Qest_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Qest/json (API)

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

On CRAN:

Conda:

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

1.00 score 229 downloads 21 exports 60 dependencies

Last updated from:6b40c48e62. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK161
linux-devel-x86_64OK171
source / vignettesOK189
linux-release-arm64OK152
linux-release-x86_64OK169
macos-release-arm64OK140
macos-release-x86_64OK233
macos-oldrel-arm64OK153
macos-oldrel-x86_64OK302
windows-develOK139
windows-releaseOK162
windows-oldrelOK183
wasm-releaseOK122

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

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmatrixStatsmemoisemimennetpchR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrsurvivaltinytexvctrsviridisLitewithrxfunyaml