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
Author:	Oleg Badunenko [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): snreg_1.2.0.tgz, r-oldrel (arm64): snreg_1.2.0.tgz, r-release (x86_64): snreg_1.2.0.tgz, r-oldrel (x86_64): snreg_1.2.0.tgz

Linking:

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