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
FastRCS_0.0.9.zip(r-4.7-x86_64)FastRCS_0.0.9.zip(r-4.7-arm64)FastRCS_0.0.9.zip(r-4.6-x86_64)FastRCS_0.0.9.zip(r-4.6-arm64)FastRCS_0.0.9.zip(r-4.5-x86_64)
FastRCS_0.0.9.tgz(r-4.6-x86_64)FastRCS_0.0.9.tgz(r-4.6-arm64)FastRCS_0.0.9.tgz(r-4.5-x86_64)FastRCS_0.0.9.tgz(r-4.5-arm64)
FastRCS_0.0.9.tar.gz(r-4.7-arm64)FastRCS_0.0.9.tar.gz(r-4.7-x86_64)FastRCS_0.0.9.tar.gz(r-4.6-arm64)FastRCS_0.0.9.tar.gz(r-4.6-x86_64)
FastRCS_0.0.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 398 downloads 4 exports 3 dependencies

Last updated from:e872779e32. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK86
linux-devel-x86_64OK98
source / vignettesOK133
linux-release-arm64OK116
linux-release-x86_64OK95
macos-release-arm64OK110
macos-release-x86_64OK225
macos-oldrel-arm64OK167
macos-oldrel-x86_64OK271
windows-devel-arm64OK321
windows-devel-x86_64OK128
windows-release-arm64OK328
windows-release-x86_64OK66
windows-oldrel-x86_64OK89
wasm-releaseOK91

Exports:FastRCSFRCSnumStartsplot.FastRCSquanf

Dependencies:matrixStatsRcppRcppEigen