Other packages > Find by keyword >

LINselect  

Selection of Linear Estimators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LINselect", "1.1.5")



Attach the package and use:
library("LINselect")
Maintained by
Benjamin Auder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-20
Latest Update: 2023-08-30
Description:
Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) . In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
How to cite:
Benjamin Auder (2013). LINselect: Selection of Linear Estimators. R package version 1.1.5, https://cran.r-project.org/web/packages/LINselect. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0-1 (2013-12-20 14:59), 0.0-2 (2015-08-26 22:59), 1.1.1 (2019-04-26 15:20), 1.1.2 (2020-01-09 19:30), 1.1.3 (2020-01-10 06:30), 1.1.4 (2023-08-30 10:10), 1.1 (2017-04-20 17:21)
Other packages that cited LINselect R package
View LINselect citation profile
Other R packages that LINselect depends, imports, suggests or enhances
Complete documentation for LINselect
Functions, R codes and Examples using the LINselect R package
Some associated functions: LINselect-package . VARselect . penalty . simulData . tuneLasso . 
Some associated R codes: VARselect.R . functions.R . penalty.R . simulData.R . tuneLasso.R .  Full LINselect 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

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  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
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  
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  
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  

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