Other packages > Find by keyword >

SMLE  

Joint Feature Screening via Sparse MLE
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SMLE", "2.2-3")



Attach the package and use:
library("SMLE")
Maintained by
Qianxiang Zang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-18
Latest Update: 2025-01-29
Description:
Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion.
How to cite:
Qianxiang Zang (2020). SMLE: Joint Feature Screening via Sparse MLE. R package version 2.2-3, https://cran.r-project.org/web/packages/SMLE. Accessed 21 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 0.3.1 (2020-05-18 17:40), 0.4.0 (2020-06-08 06:20), 0.4.1 (2020-06-24 16:30), 1.1.1 (2021-05-09 06:20), 1.2.3 (2021-09-03 07:10), 1.2.4 (2021-09-09 09:00), 2.0-0 (2021-09-24 21:30), 2.0-1 (2021-10-01 15:00), 2.0-2 (2021-12-09 19:20), 2.1-0 (2023-01-21 14:30), 2.1-1 (2024-02-12 22:50), 2.2-2 (2025-01-29 01:10)
Other packages that cited SMLE R package
View SMLE citation profile
Other R packages that SMLE depends, imports, suggests or enhances
Complete documentation for SMLE
Functions, R codes and Examples using the SMLE R package
Some associated functions: Gen_Data . SMLE-package . SMLE . coef . logLik . plot.selection . plot.smle . predict . print . pvals . smle_select . summary . synSNP . vote_update . 
Some associated R codes: Gen_data.R . ICselect.R . SMLE.R . SMLE_fit.R . coef.R . dummy.R . logLik.R . plot.selection.R . plot.smle.R . predict.R . print.R . pvals.R . smle_select.R . summary.R . synSNP.R . ult.R . vote.R .  Full SMLE package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
outerbase  
Outer Product Regression
High-dimensional regression using outer product models. Research on the methods is currently under ...
Download / Learn more Package Citations See dependency  
figuRes2  
Support for a Variety of Figure Production Tasks
We view a figure as a collection of graphs/tables assembled on a page and optionally annotated with ...
Download / Learn more Package Citations See dependency  
tripack  
Triangulation of Irregularly Spaced Data
A constrained two-dimensional Delaunay triangulation package providing both triangulation and genera ...
Download / Learn more Package Citations See dependency  
processR  
Implementation of the "PROCESS" Macro
Perform moderation mediation moderated mediation and moderated moderation.Inspired from famous PROCE ...
Download / Learn more Package Citations See dependency  
iSFun  
Integrative Dimension Reduction Analysis for Multi-Source Data
The implement of integrative analysis methods based on a two-part penalization, which realizes dimen ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

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