<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Regression with Skew-Normally Distributed Error Term</dc:title>
  <dc:title>R package snreg version 1.2.0</dc:title>
  <dc:description>Models with skew‑normally distributed and thus asymmetric error terms, implementing the methods developed in Badunenko and Henderson (2023) "Production analysis with asymmetric noise" &lt;doi:10.1007/s11123-023-00680-5&gt;. 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Formula, npsf</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Oleg Badunenko &lt;Oleg.Badunenko@brunel.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Oleg Badunenko [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-7216-0861&gt;),
  John Burkardt [ctb, cph] (Author of C code for Owen T function)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-02-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=snreg</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.snreg</dc:identifier>
</oai_dc:dc>
