snreg
Regression with Skew-Normally Distributed Error Term
Models with skew‑normally distributed and thus asymmetric error terms, implementing the methods developed in Badunenko and Henderson (2023) "Production analysis with asymmetric noise" <doi:10.1007/s11123-023-00680-5>. The package provides tools to estimate regression models with skew‑normal error terms, allowing both the variance and skewness parameters to be heteroskedastic. It also includes a stochastic frontier framework that accommodates both i.i.d. and heteroskedastic inefficiency terms.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | snreg_1.2.0.tar.gz |
391.2 KiB |
1.2.0 |
rolling linux/noble R-4.5 | snreg_1.2.0.tar.gz |
389.9 KiB |
1.2.0 |
rolling source/ R- | snreg_1.2.0.tar.gz |
194.6 KiB |
1.2.0 |
latest linux/jammy R-4.5 | snreg_1.2.0.tar.gz |
391.2 KiB |
1.2.0 |
latest linux/noble R-4.5 | snreg_1.2.0.tar.gz |
389.9 KiB |
1.2.0 |
latest source/ R- | snreg_1.2.0.tar.gz |
194.6 KiB |
1.2.0 |
2026-04-26 source/ R- | snreg_1.2.0.tar.gz |
194.6 KiB |
1.2.0 |
2026-04-23 source/ R- | snreg_1.2.0.tar.gz |
194.6 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | snreg_1.2.0.zip |
514.2 KiB |