qcauchyreg
Quantile Regression Quasi-Cauchy
Quasi-Cauchy quantile regression, proposed by de Oliveira, Ospina, Leiva, Figueroa-Zuniga and Castro (2023) <doi:10.3390/fractalfract7090667>. This regression model is useful for the case where you want to model data of a nature limited to the intervals [0,1], (0,1], [0,1) or (0,1) and you want to use a quantile approach.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | qcauchyreg_1.0.tar.gz |
95.6 KiB |
1.0 |
rolling linux/noble R-4.5 | qcauchyreg_1.0.tar.gz |
95.5 KiB |
1.0 |
rolling source/ R- | qcauchyreg_1.0.tar.gz |
75.9 KiB |
1.0 |
latest linux/jammy R-4.5 | qcauchyreg_1.0.tar.gz |
95.6 KiB |
1.0 |
latest linux/noble R-4.5 | qcauchyreg_1.0.tar.gz |
95.5 KiB |
1.0 |
latest source/ R- | qcauchyreg_1.0.tar.gz |
75.9 KiB |
1.0 |
2026-04-26 source/ R- | qcauchyreg_1.0.tar.gz |
75.9 KiB |
1.0 |
2026-04-23 source/ R- | qcauchyreg_1.0.tar.gz |
75.9 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | qcauchyreg_1.0.zip |
98.5 KiB |
1.0 |
2025-04-20 source/ R- | qcauchyreg_1.0.tar.gz |
75.9 KiB |