Package: FastPCS 0.1.4

FastPCS: FastPCS Robust Fit of Multivariate Location and Scatter

The FastPCS algorithm of Vakili and Schmitt (2014) <doi:10.1016/j.csda.2013.07.021> for robust estimation of multivariate location and scatter and multivariate outliers detection.

Authors:Kaveh Vakili [aut, cre]

FastPCS_0.1.4.tar.gz
FastPCS_0.1.4.zip(r-4.7-x86_64)FastPCS_0.1.4.zip(r-4.7-arm64)FastPCS_0.1.4.zip(r-4.6-x86_64)FastPCS_0.1.4.zip(r-4.6-arm64)FastPCS_0.1.4.zip(r-4.5-x86_64)
FastPCS_0.1.4.tgz(r-4.6-x86_64)FastPCS_0.1.4.tgz(r-4.6-arm64)FastPCS_0.1.4.tgz(r-4.5-x86_64)FastPCS_0.1.4.tgz(r-4.5-arm64)
FastPCS_0.1.4.tar.gz(r-4.7-arm64)FastPCS_0.1.4.tar.gz(r-4.7-x86_64)FastPCS_0.1.4.tar.gz(r-4.6-arm64)FastPCS_0.1.4.tar.gz(r-4.6-x86_64)
FastPCS_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FastPCS/json (API)

# Install 'FastPCS' in R:
install.packages('FastPCS', repos = c('https://kvak.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.48 score 1 stars 1 packages 4 scripts 512 downloads 4 exports 3 dependencies

Last updated from:2ba7dbabaa. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK80
linux-devel-x86_64OK96
source / vignettesOK143
linux-release-arm64OK113
linux-release-x86_64OK100
macos-release-arm64OK107
macos-release-x86_64OK286
macos-oldrel-arm64OK115
macos-oldrel-x86_64OK196
windows-devel-arm64OK183
windows-devel-x86_64OK102
windows-release-arm64OK201
windows-release-x86_64OK94
windows-oldrel-x86_64OK91
wasm-releaseOK88

Exports:FastPCSFPCSnumStartsplot.FastPCSquanf

Dependencies:matrixStatsRcppRcppEigen