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.

Package details

AuthorOleg Badunenko [aut, cre] (ORCID: <https://orcid.org/0000-0001-7216-0861>), John Burkardt [ctb, cph] (Author of C code for Owen T function)
MaintainerOleg Badunenko <Oleg.Badunenko@brunel.ac.uk>
LicenseGPL-3
Version1.2.0
URL https://olegbadunenko.github.io/snreg/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("snreg")

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snreg documentation built on Feb. 6, 2026, 5:08 p.m.