Other packages > Find by keyword >

enetLTS  

Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("enetLTS", "1.1.0")



Attach the package and use:
library("enetLTS")
Maintained by
Fatma Sevinc Kurnaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-22
Latest Update: 2022-05-21
Description:
Fully robust versions of the elastic net estimator are introduced for linear and binary and multinomial regression, in particular high dimensional data. The algorithm searches for outlier free subsets on which the classical elastic net estimators can be applied. A reweighting step is added to improve the statistical efficiency of the proposed estimators. Selecting appropriate tuning parameters for elastic net penalties are done via cross-validation.
How to cite:
Fatma Sevinc Kurnaz (2018). enetLTS: Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression. R package version 1.1.0, https://cran.r-project.org/web/packages/enetLTS. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2018-01-22 10:31)
Other packages that cited enetLTS R package
View enetLTS citation profile
Other R packages that enetLTS depends, imports, suggests or enhances
Complete documentation for enetLTS
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

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  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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