Package: glorenz 0.1.1

glorenz: Transformed and Relative Lorenz Curves for Survey Weighted Data

Functions for constructing Transformed and Relative Lorenz curves with survey sampling weights. Given a variable of interest measured in two groups with scaled survey weights so that their hypothetical populations are of equal size, tlorenz() computes the proportion of members of the group with smaller values (ordered from smallest to largest) needed for their sum to match the sum of the top qth percentile of the group with higher values. rlorenz() shows the fraction of the total value of the group with larger values held by the pth percentile of those in the group with smaller values. Fd() is a survey weighted cumulative distribution function and Eps() is a survey weighted inverse cdf used in rlorenz(). Ramos, Graubard, and Gastwirth (2025) <doi:10.1093/jrsssa/qnaf044>.

Authors:Mark Ramos [aut, cre, cph]

glorenz_0.1.1.tar.gz
glorenz_0.1.1.zip(r-4.7-any)glorenz_0.1.1.zip(r-4.6-any)glorenz_0.1.1.zip(r-4.5-any)
glorenz_0.1.1.tgz(r-4.6-any)glorenz_0.1.1.tgz(r-4.5-any)
glorenz_0.1.1.tar.gz(r-4.7-any)glorenz_0.1.1.tar.gz(r-4.6-any)
glorenz_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
glorenz/json (API)

# Install 'glorenz' in R:
install.packages('glorenz', repos = c('https://mlr6219-ui.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 243 downloads 4 exports 62 dependencies

Last updated from:74294bea7e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK144
source / vignettesOK208
linux-releaseOK147
macos-releaseOK110
macos-oldrelOK136
windows-develOK104
windows-releaseOK110
windows-oldrelOK104
wasm-releaseOK99

Exports:EpsFdrlorenztlorenz

Dependencies:bootclicodetoolscpp11crayondigestdoParalleldplyrfarverforeachfurrrfutureGAgenericsggplot2globalsgluegtablehardhathmsisobanditeratorslabelinglatticelifecyclelistenvLorenzRegressionmagrittrMASSMatrixMatrixModelsparallellyparsnippillarpkgconfigprettyunitsprogresspurrrquantregR6RColorBrewerRcppRcppArmadilloRearrangementrlangrsampleS7scalessliderSparseMsparsevctrsstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewarpwithr