The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
Author: DongHyuk Lee, Samiran Sinha
Maintainer: DongHyuk Lee <leedhyuk at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: SPreg results

Documentation:

Reference manual: SPreg.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SPreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.