Package: LorenzRegression 2.0.0

Alexandre Jacquemain

LorenzRegression: Lorenz and Penalized Lorenz Regressions

Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.

Authors:Alexandre Jacquemain [aut, cre], Xingjie Shi [ctb]

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LorenzRegression/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/aljacq/lorenzregression/issues

On CRAN:

13 exports 1.59 score 63 dependencies 227 downloads

Last updated 9 days agofrom:2e2b4d2372. Checks:OK: 9. Indexed: yes.

Exports:diagnostic.PLRGini.coefineqExplainedLorenz.bootLorenz.boot.combineLorenz.curveLorenz.FABSLorenz.GALorenz.graphsLorenz.RegLorenz.SCADFABSPLR.CVRearrangement.estimation

Dependencies:bootclicodetoolscolorspacecpp11crayondigestdoParalleldplyrfansifarverforeachfurrrfutureGAgenericsggplot2globalsgluegtablehardhatisobanditeratorslabelinglatticelifecyclelistenvlocpolmagrittrMASSMatrixMatrixModelsmgcvmunsellnlmeparallellyparsnippillarpkgconfigprettyunitspurrrquantregR6RColorBrewerRcppRcppArmadilloRearrangementrlangrsamplescalessliderSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewarpwithr