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PPSFS  

Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PPSFS", "0.1.1")



Attach the package and use:
library("PPSFS")
Maintained by
Zengchao Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-21
Latest Update: 2025-07-04
Description:
This is an implementation of the partial profile score feature selection (PPSFS) approach to generalized linear (interaction) models. The PPSFS is highly scalable even for ultra-high-dimensional feature space. See the paper by Xu, Luo and Chen (2021, ).
How to cite:
Zengchao Xu (2022). PPSFS: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models. R package version 0.1.1, https://cran.r-project.org/web/packages/PPSFS. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2022-03-21 19:10), 0.1.1 (2025-07-04 04:30)
Other packages that cited PPSFS R package
View PPSFS citation profile
Other R packages that PPSFS depends, imports, suggests or enhances
Complete documentation for PPSFS
Functions, R codes and Examples using the PPSFS R package
Some associated functions: PPS-method . PPSFS-package . 
Some associated R codes: PPSFS-package.R . RcppExports.R . get-features.R . inter-pps.R . ppsfs.R . ppsfsi.R .  Full PPSFS package functions and examples
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