SPreg
Bias Reduction in the Skew-Probit Model for a Binary Response
Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) <doi:10.1080/00949655.2019.1590579>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | SPreg_1.0.tar.gz |
4.1 KiB |
1.0 |
rolling linux/jammy R-4.5 | SPreg_1.0.tar.gz |
29.1 KiB |
1.0 |
rolling linux/noble R-4.5 | SPreg_1.0.tar.gz |
29.0 KiB |
1.0 |
latest linux/jammy R-4.5 | SPreg_1.0.tar.gz |
29.1 KiB |
1.0 |
latest linux/noble R-4.5 | SPreg_1.0.tar.gz |
29.0 KiB |
1.0 |
latest source/ R- | SPreg_1.0.tar.gz |
4.1 KiB |
1.0 |
2026-04-26 source/ R- | SPreg_1.0.tar.gz |
4.1 KiB |
1.0 |
2026-04-23 source/ R- | SPreg_1.0.tar.gz |
4.1 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | SPreg_1.0.zip |
31.6 KiB |
1.0 |
2025-04-20 source/ R- | SPreg_1.0.tar.gz |
4.1 KiB |