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tlars  

The T-LARS Algorithm: Early-Terminated Forward Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tlars", "1.0.1")



Attach the package and use:
library("tlars")
Maintained by
Jasin Machkour
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-15
Latest Update: 2024-02-24
Description:
Computes the solution path of the Terminating-LARS (T-LARS) algorithm. The T-LARS algorithm is a major building block of the T-Rex selector (see R package 'TRexSelector'). The package is based on the papers Machkour, Muma, and Palomar (2022) <doi:10.48550/arXiv.2110.06048>, Efron, Hastie, Johnstone, and Tibshirani (2004) <doi:10.1214/009053604000000067>, and Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>.
How to cite:
Jasin Machkour (2022). tlars: The T-LARS Algorithm: Early-Terminated Forward Variable Selection. R package version 1.0.1, https://cran.r-project.org/web/packages/tlars. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:14), 0.0.1 (2022-07-15 10:40), 1.0.0 (2024-02-21 22:10)
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Complete documentation for tlars
Functions, R codes and Examples using the tlars R package
Some associated functions: Gauss_data . plot.Rcpp_tlars_cpp . print.Rcpp_tlars_cpp . tlars . tlars_cpp . tlars_model . 
Some associated R codes: Gauss_data.R . import_tlars_cpp.R . plot.Rcpp_tlars_cpp.R . print.Rcpp_tlars_cpp.R . tlars.R . tlars_model.R .  Full tlars package functions and examples
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