Package: SPreg 1.0

DongHyuk Lee

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>.

Authors:DongHyuk Lee, Samiran Sinha

SPreg_1.0.tar.gz
SPreg_1.0.tar.gz(r-4.5-noble)SPreg_1.0.tar.gz(r-4.4-noble)
SPreg_1.0.tgz(r-4.4-emscripten)SPreg_1.0.tgz(r-4.3-emscripten)
SPreg.pdf |SPreg.html
SPreg/json (API)

# Install 'SPreg' in R:
install.packages('SPreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 109 downloads 2 exports 11 dependencies

Last updated 6 years agofrom:b7bd6f9a10. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxOKNov 03 2024

Exports:skewProbitskewProbit.fit

Dependencies:latticeMASSMatrixMatrixModelsmnormtnumDerivquantregsnSparseMsurvivalucminf