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-4.5-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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:b7bd6f9a10. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
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 |