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glorenz  

Transformed and Relative Lorenz Curves for Survey Weighted Data
View on CRAN: Click here


Download and install glorenz package within the R console
Install from CRAN:
install.packages("glorenz")

Install from Github:
library("remotes")
install_github("cran/glorenz")

Install by package version:
library("remotes")
install_version("glorenz", "0.1.1")



Attach the package and use:
library("glorenz")
Maintained by
Mark Ramos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-04
Latest Update: 2025-06-27
Description:
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>.
How to cite:
Mark Ramos (2025). glorenz: Transformed and Relative Lorenz Curves for Survey Weighted Data. R package version 0.1.1, https://cran.r-project.org/web/packages/glorenz. Accessed 09 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-06-04 14:00)
Other packages that cited glorenz R package
View glorenz citation profile
Other R packages that glorenz depends, imports, suggests or enhances
Complete documentation for glorenz
Functions, R codes and Examples using the glorenz R package
Full glorenz package functions and examples
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