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:
SPreg_1.0.tar.gz
SPreg_1.0.tar.gz(r-4.7-any)SPreg_1.0.tar.gz(r-4.6-any)
SPreg_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SPreg/json (API)
| # Install 'SPreg' in R: |
| install.packages('SPreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b7bd6f9a10. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 180 | ||
| linux-release-x86_64 | OK | 105 | ||
| wasm-release | OK | 103 |
Exports:skewProbitskewProbit.fit
Dependencies:latticeMASSMatrixMatrixModelsmnormtnumDerivquantregsnSparseMsurvivalucminf
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fitting Binary Regression with a Skew-Probit Link Function | skewProbit |
| Fitting Binary Regression with a Skew-Probit Link Function | skewProbit.fit |