Other packages > Find by keyword >

subsamp  

Subsample Winner Algorithm for Variable Selection in Linear Regression with a Large Number of Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("subsamp", "0.1.0")



Attach the package and use:
library("subsamp")
Maintained by
Yiying Fan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update:
Description:
This subsample winner algorithm (SWA) for regression with a large-p data (X, Y) selects the important variables (or features) among the p features X in explaining the response Y. The SWA first uses a base procedure, here a linear regression, on each of subsamples randomly drawn from the p variables, and then computes the scores of all features, i.e., the p variables, according to the performance of these features collected in each of the subsample analyses. It then obtains the 'semifinalist' of the features based on the resulting scores and determines the 'finalists', i.e., the important features, from the 'semifinalist'. Fan, Sun and Qiao (2017) .
How to cite:
Yiying Fan (2017). subsamp: Subsample Winner Algorithm for Variable Selection in Linear Regression with a Large Number of Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/subsamp. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 0.1.0 (2017-11-14 19:52)
Other packages that cited subsamp R package
View subsamp citation profile
Other R packages that subsamp depends, imports, suggests or enhances
Functions, R codes and Examples using the subsamp R package
Some associated functions: subsamp . 
Some associated R codes: subsamp.R .  Full subsamp package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA