Package: rifreg 1.1.0

Samuel Meier

rifreg: Estimate Recentered Influence Function Regression

Provides functions to compute recentered influence functions (RIF) of a distributional variable at the mean, quantiles, variance, gini or any custom functional of interest. The package allows to regress the RIF on any number of covariates. Generic print, plot and summary functions are also provided. Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009) <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".

Authors:David Gallusser [aut], Samuel Meier [aut, cre]

rifreg_1.1.0.tar.gz
rifreg_1.1.0.zip(r-4.7-any)rifreg_1.1.0.zip(r-4.6-any)
rifreg_1.1.0.tar.gz(r-4.7-any)rifreg_1.1.0.tar.gz(r-4.6-any)
rifreg_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rifreg/json (API)

# Install 'rifreg' in R:
install.packages('rifreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • men8385 - Sample of male wage data from the CPS 1983-1985

On CRAN:

Conda:

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

2.18 score 1 packages 238 downloads 13 exports 59 dependencies

Last updated from:5106d74791. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK162
source / vignettesOK208
linux-releaseOK184
windows-develOK145
windows-releaseOK154
wasm-releaseOK144

Exports:check_weightscompute_generalized_lorenz_ordinatescompute_ginicompute_weighted_ecdfget_rifget_rif_giniget_rif_interquantile_rangeget_rif_interquantile_ratioget_rif_meanget_rif_quantilesget_rif_varianceintegrate_generalized_lorenz_curverifreg

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrmemoisemimennetpbapplyR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sandwichsassscalesstringistringrtinytexvctrsviridisLitewithrxfunyamlzoo