SPreg: Bias Reduction in the Skew-Probit Model for a Binary Response

Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) <doi:10.1080/00949655.2019.1590579>.

Version: 1.0
Depends: R (≥ 3.0)
Imports: sn, ucminf
Published: 2019-03-16
DOI: 10.32614/CRAN.package.SPreg
Author: DongHyuk Lee, Samiran Sinha
Maintainer: DongHyuk Lee <leedhyuk at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: SPreg results


Reference manual: SPreg.pdf


Package source: SPreg_1.0.tar.gz
Windows binaries: r-devel: SPreg_1.0.zip, r-release: SPreg_1.0.zip, r-oldrel: SPreg_1.0.zip
macOS binaries: r-release (arm64): SPreg_1.0.tgz, r-oldrel (arm64): SPreg_1.0.tgz, r-release (x86_64): SPreg_1.0.tgz, r-oldrel (x86_64): SPreg_1.0.tgz


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