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pboost  

Profile Boosting Framework for Parametric Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pboost", "0.2.1")



Attach the package and use:
library("pboost")
Maintained by
Zengchao Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-08
Latest Update: 2026-01-08
Description:
A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression. An S3 interface EBIC() is provided as the stopping rule for the profile boosting by default.
How to cite:
Zengchao Xu (2026). pboost: Profile Boosting Framework for Parametric Models. R package version 0.2.1, https://cran.r-project.org/web/packages/pboost. Accessed 12 Mar. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for pboost
Functions, R codes and Examples using the pboost R package
Full pboost package functions and examples
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