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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.1 |
rolling source/ R- | LorenzRegression_2.3.1.tar.gz |
80.7 KiB |
2.3.1 |
rolling linux/jammy R-4.5 | LorenzRegression_2.3.1.tar.gz |
370.2 KiB |
2.3.1 |
rolling linux/noble R-4.5 | LorenzRegression_2.3.1.tar.gz |
373.5 KiB |
2.3.1 |
latest source/ R- | LorenzRegression_2.3.1.tar.gz |
80.7 KiB |
2.3.1 |
latest linux/jammy R-4.5 | LorenzRegression_2.3.1.tar.gz |
370.2 KiB |
2.3.1 |
latest linux/noble R-4.5 | LorenzRegression_2.3.1.tar.gz |
373.5 KiB |
2.3.1 |
2026-04-23 source/ R- | LorenzRegression_2.3.1.tar.gz |
80.7 KiB |
2.3.1 |
2026-04-09 windows/windows R-4.5 | LorenzRegression_2.3.1.zip |
696.3 KiB |
2.1.0 |
2025-04-20 source/ R- | LorenzRegression_2.1.0.tar.gz |
67.3 KiB |