Other packages > Find by keyword >

groupsubsetselection  

Group Subset Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("groupsubsetselection", "1.0.3")



Attach the package and use:
library("groupsubsetselection")
Maintained by
Yi Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-03
Latest Update: 2023-09-11
Description:
Group subset selection for linear regression models is provided in this package. Given response variable, and explanatory variables, which are organised in groups, group subset selection selects a small number of groups to explain response variable linearly using least squares.
How to cite:
Yi Guo (2017). groupsubsetselection: Group Subset Selection. R package version 1.0.3, https://cran.r-project.org/web/packages/groupsubsetselection. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0.3 (2017-04-03 17:31)
Other packages that cited groupsubsetselection R package
View groupsubsetselection citation profile
Other R packages that groupsubsetselection depends, imports, suggests or enhances
Functions, R codes and Examples using the groupsubsetselection R package
Some associated functions: groupsubsetselection . 
Some associated R codes: Full groupsubsetselection package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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