Other packages > Find by keyword >

abess  

Fast Best Subset Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("abess", "0.4.9")



Attach the package and use:
library("abess")
Maintained by
Jin Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-21
Latest Update: 2023-09-19
Description:
Extremely efficient toolkit for solving the best subset selection problem . This package is its R interface. The package implements and generalizes algorithms designed in that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection and sure independence screening are also provided.
How to cite:
Jin Zhu (2021). abess: Fast Best Subset Selection. R package version 0.4.9, https://cran.r-project.org/web/packages/abess. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-04-21 14:00), 0.2.0 (2021-07-31 15:40), 0.3.0 (2021-09-03 18:30), 0.4.0 (2021-12-08 17:50), 0.4.5 (2022-03-22 11:10), 0.4.6 (2022-11-06 06:10), 0.4.7 (2023-02-20 00:00), 0.4.8 (2023-09-19 15:20)
Other packages that cited abess R package
View abess citation profile
Other R packages that abess depends, imports, suggests or enhances
Complete documentation for abess
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

SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
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  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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