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.

Version: 1.2.0
Imports: Formula, npsf
Suggests: knitr, rmarkdown
Published: 2026-02-06
DOI: 10.32614/CRAN.package.snreg (may not be active yet)
Author: Oleg Badunenko ORCID iD [aut, cre], John Burkardt [ctb, cph] (Author of C code for Owen T function)
Maintainer: Oleg Badunenko <Oleg.Badunenko at brunel.ac.uk>
License: GPL-3
Copyright: see file COPYRIGHTS
URL: https://olegbadunenko.github.io/snreg/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: snreg results

Documentation:

Reference manual: snreg.html , snreg.pdf
Vignettes: Illustration (source)
Introduction to snreg (source, R code)

Downloads:

Package source: snreg_1.2.0.tar.gz
Windows binaries: r-devel: snreg_1.2.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): snreg_1.2.0.tgz, r-oldrel (x86_64): snreg_1.2.0.tgz

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