Package: FastRCS 0.0.9

FastRCS: Fits the FastRCS Robust Multivariable Linear Regression Model

The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.

Authors:Kaveh Vakili [aut, cre]

FastRCS_0.0.9.tar.gz
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FastRCS.pdf |FastRCS.html✨
FastRCS/json (API)

# Install 'FastRCS' in R:
install.packages('FastRCS', repos = c('https://kvak.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Lemons - Sales Data for the Chrysler Town & Country

On CRAN:

Conda:

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

cpp

1.00 score 5 scripts 317 downloads 4 exports 3 dependencies

Last updated 1 years agofrom:e872779e32. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-win-x86_64OKMar 02 2025
R-4.5-mac-x86_64OKMar 02 2025
R-4.5-mac-aarch64OKMar 02 2025
R-4.5-linux-x86_64OKMar 02 2025
R-4.4-win-x86_64OKMar 02 2025
R-4.4-mac-x86_64OKMar 02 2025
R-4.4-mac-aarch64OKMar 02 2025
R-4.3-win-x86_64OKMar 02 2025
R-4.3-mac-x86_64OKMar 02 2025
R-4.3-mac-aarch64OKMar 02 2025

Exports:FastRCSFRCSnumStartsplot.FastRCSquanf

Dependencies:matrixStatsRcppRcppEigen