Package: DetR 0.0.5

DetR: Suite of Deterministic and Robust Algorithms for Linear Regression

DetLTS, DetMM (and DetS) Algorithms for Deterministic, Robust Linear Regression.

Authors:Kaveh Vakili [aut, cre], Valentin Todorov [ctb], Peter Filzmoser [ctb], Heinrich Fritz [ctb], Klaudius Kalcher [ctb], Kjell Konis [ctb], Martin Maechler [ctb], Matias Salibian-Barrera [ctb], Peter Rousseeuw [ctb], Katrien van Driessen [ctb]

DetR_0.0.5.tar.gz
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DetR.pdf |DetR.html✨
DetR/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • chis2009 - CHIS 2009 Adult Health Survey Data

On CRAN:

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

1.00 score 7 scripts 151 downloads 1 mentions 6 exports 7 dependencies

Last updated 7 years agofrom:74337a0874. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64NOTENov 07 2024
R-4.3-mac-x86_64NOTENov 07 2024
R-4.3-mac-aarch64NOTENov 07 2024

Exports:DetLTSDetMMinQninUMCDOGKCStepquanf

Dependencies:DEoptimRMASSmvtnormpcaPPRcppRcppEigenrobustbase