Package: sparseLTSEigen 0.2.0.1

Andreas Alfons

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_0.2.0.1.tar.gz
sparseLTSEigen_0.2.0.1.tar.gz(r-4.5-noble)sparseLTSEigen_0.2.0.1.tar.gz(r-4.4-noble)
sparseLTSEigen_0.2.0.1.tgz(r-4.4-emscripten)sparseLTSEigen_0.2.0.1.tgz(r-4.3-emscripten)
sparseLTSEigen.pdf |sparseLTSEigen.html✨
sparseLTSEigen/json (API)
NEWS

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

1.00 score 1 scripts 215 downloads 1 exports 35 dependencies

Last updated 4 years agofrom:e14ed92d25. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64OKDec 05 2024

Exports:.CallSparseLTSEigen

Dependencies:clicolorspaceDEoptimRfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeperrypillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrobustbaserobustHDscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

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