Other packages > Find by keyword >

BOSSreg  

Best Orthogonalized Subset Selection (BOSS)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BOSSreg", "0.2.0")



Attach the package and use:
library("BOSSreg")
Maintained by
Sen Tian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-06
Latest Update: 2021-03-06
Description:
Best Orthogonalized Subset Selection (BOSS) is a least-squares (LS) based subset selection method, that performs best subset selection upon an orthogonalized basis of ordered predictors, with the computational effort of a single ordinary LS fit. This package provides a highly optimized implementation of BOSS and estimates a heuristic degrees of freedom for BOSS, which can be plugged into an information criterion (IC) such as AICc in order to select the subset from candidates. It provides various choices of IC, including AIC, BIC, AICc, Cp and GCV. It also implements the forward stepwise selection (FS) with no additional computational cost, where the subset of FS is selected via cross-validation (CV). CV is also an option for BOSS. For details see: Tian, Hurvich and Simonoff (2021), "On the Use of Information Criteria for Subset Selection in Least Squares Regression", .
How to cite:
Sen Tian (2019). BOSSreg: Best Orthogonalized Subset Selection (BOSS). R package version 0.2.0, https://cran.r-project.org/web/packages/BOSSreg. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-12-06 12:00), 0.2.0 (2021-03-06 20:20)
Other packages that cited BOSSreg R package
View BOSSreg citation profile
Other R packages that BOSSreg depends, imports, suggests or enhances
Complete documentation for BOSSreg
Functions, R codes and Examples using the BOSSreg R package
Some associated functions: boss . calc.ic . coef.boss . coef.cv.boss . cv.boss . predict.boss . predict.cv.boss . 
Some associated R codes: RcppExports.R . boss.R . cv.boss.R . ic.R . utils.R .  Full BOSSreg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

keep  
Arrays with Better Control over Dimension Dropping
Provides arrays with flexible control over dimension dropping when subscripting. ...
Download / Learn more Package Citations See dependency  
cesR  
Access the Canadian Election Study Datasets
Makes accessing and loading the Canadian Election Study (, ...
Download / Learn more Package Citations See dependency  
curtailment  
Finds Binary Outcome Designs Using Stochastic Curtailment
Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) ...
Download / Learn more Package Citations See dependency  
xmlr  
Read, Write and Work with 'XML' Data
'XML' package for creating and reading and manipulating 'XML', with an object model based on 'Refere ...
Download / Learn more Package Citations See dependency  
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  
gRain  
Bayesian Networks
Probability propagation in graphical independence networks, also known as Bayesian networks or prob ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

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