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-4.7-arm64)sparseLTSEigen_0.2.0.1.tar.gz(r-4.7-x86_64)sparseLTSEigen_0.2.0.1.tar.gz(r-4.6-arm64)sparseLTSEigen_0.2.0.1.tar.gz(r-4.6-x86_64)
sparseLTSEigen_0.2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sparseLTSEigen/json (API)
NEWS

# Install 'sparseLTSEigen' in R:
install.packages('sparseLTSEigen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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 212 downloads 1 exports 25 dependencies

Last updated from:e14ed92d25. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK521
source / vignettesOK460
linux-release-arm64OK146
linux-release-x86_64OK135
wasm-releaseOK129

Exports:.CallSparseLTSEigen

Dependencies:clicpp11DEoptimRfarverggplot2gluegtableisobandlabelinglifecycleMASSperryR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrobustbaserobustHDS7scalesvctrsviridisLitewithr

Readme and manuals

Help Manual

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