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sparseLTSEigen
View on CRAN: Click
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Download and install sparseLTSEigen package within the R console
Install from CRAN:
install.packages("sparseLTSEigen")
Install from Github:
library("remotes")
install_github("cran/sparseLTSEigen")
Install by package version:
library("remotes")
install_version("sparseLTSEigen", "0.2.0.1")
Attach the package and use:
library("sparseLTSEigen")
Maintained by
Andreas Alfons
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All associated links for this package
10.32614/CRAN.package.sparseLTSEigen . sparseLTSEigen results . sparseLTSEigen.pdf . sparseLTSEigen_0.2.0.1.tar.gz . sparseLTSEigen_0.2.0.1.zip . sparseLTSEigen_0.2.0.1.zip . sparseLTSEigen_0.2.0.1.zip . sparseLTSEigen_0.2.0.1.tgz . sparseLTSEigen_0.2.0.1.tgz . sparseLTSEigen_0.2.0.1.tgz . sparseLTSEigen_0.2.0.1.tgz . sparseLTSEigen archive . https://CRAN.R-project.org/package=sparseLTSEigen .
First Published: 2012-04-10
Latest Update: 2020-10-14
Description:
Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.
How to cite:
Andreas Alfons (2012). sparseLTSEigen: RcppEigen back end for sparse least trimmed squares regression. R package version 0.2.0.1, https://cran.r-project.org/web/packages/sparseLTSEigen. Accessed 21 Apr. 2025.
Previous versions and publish date:
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Functions, R codes and Examples using
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Some associated functions: sparseLTSEigen-package .
Some associated R codes: sparseLTSEigen.R . Full sparseLTSEigen package functions and examples
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