Package: sparseLTSEigen 0.2.1

sparseLTSEigen: RcppEigen back end for sparse least trimmed squares regression

Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.

Authors:Andreas Alfons [aut, cre]

sparseLTSEigen_0.2.1.tar.gz
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sparseLTSEigen.pdf |sparseLTSEigen.html✨
sparseLTSEigen/json (API)
NEWS

# Install 'sparseLTSEigen' in R:
install.packages('sparseLTSEigen', repos = c('https://aalfons.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aalfons/sparseltseigen/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

2.00 score 1 stars 1 scripts 190 downloads 1 exports 35 dependencies

Last updated 10 years agofrom:ec86d44a7d. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64OKNov 04 2024
R-4.5-linux-x86_64OKNov 04 2024
R-4.4-win-x86_64OKNov 04 2024
R-4.4-mac-x86_64OKNov 04 2024
R-4.4-mac-aarch64OKNov 04 2024
R-4.3-win-x86_64OKNov 04 2024
R-4.3-mac-x86_64OKNov 04 2024
R-4.3-mac-aarch64OKNov 04 2024

Exports:.CallSparseLTSEigen

Dependencies:clicolorspaceDEoptimRfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeperrypillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrobustbaserobustHDscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
RcppEigen back end for sparse least trimmed squares regressionsparseLTSEigen-package .CallSparseLTSEigen sparseLTSEigen