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SPreg  

Bias Reduction in the Skew-Probit Model for a Binary Response
View on CRAN: Click here


Download and install SPreg package within the R console
Install from CRAN:
install.packages("SPreg")

Install from Github:
library("remotes")
install_github("cran/SPreg")

Install by package version:
library("remotes")
install_version("SPreg", "1.0")



Attach the package and use:
library("SPreg")
Maintained by
DongHyuk Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-16
Latest Update: 2019-03-16
Description:
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>.
How to cite:
DongHyuk Lee (2019). SPreg: Bias Reduction in the Skew-Probit Model for a Binary Response. R package version 1.0, https://cran.r-project.org/web/packages/SPreg. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other packages that cited SPreg R package
View SPreg citation profile
Other R packages that SPreg depends, imports, suggests or enhances
Complete documentation for SPreg
Functions, R codes and Examples using the SPreg R package
Some associated functions: skewProbit.fit . skewProbit . 
Some associated R codes: SkewProbit_source_1.0.R .  Full SPreg package functions and examples
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