The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 0.1.1 |
| Imports: | dplyr , magrittr , stats , LorenzRegression, rlang |
| Published: | 2025-06-27 |
| DOI: | 10.32614/CRAN.package.glorenz |
| Author: | Mark Ramos [aut, cre, cph] |
| Maintainer: | Mark Ramos <mlr6219 at psu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | glorenz results |
| Reference manual: | glorenz.pdf |
| Package source: | glorenz_0.1.1.tar.gz |
| Windows binaries: | r-devel: glorenz_0.1.0.zip, r-release: glorenz_0.1.0.zip, r-oldrel: glorenz_0.1.1.zip |
| macOS binaries: | r-release (arm64): glorenz_0.1.0.tgz, r-oldrel (arm64): glorenz_0.1.0.tgz, r-release (x86_64): glorenz_0.1.1.tgz, r-oldrel (x86_64): glorenz_0.1.1.tgz |
| Old sources: | glorenz archive |
Please use the canonical form https://CRAN.R-project.org/package=glorenz to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.