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-4.5)FastPCS_0.1.4.zip(r-4.4)FastPCS_0.1.4.zip(r-4.3)
FastPCS_0.1.4.tgz(r-4.4-x86_64)FastPCS_0.1.4.tgz(r-4.4-arm64)FastPCS_0.1.4.tgz(r-4.3-x86_64)FastPCS_0.1.4.tgz(r-4.3-arm64)
FastPCS_0.1.4.tar.gz(r-4.5-noble)FastPCS_0.1.4.tar.gz(r-4.4-noble)
FastPCS_0.1.4.tgz(r-4.4-emscripten)FastPCS_0.1.4.tgz(r-4.3-emscripten)
FastPCS.pdf |FastPCS.html
FastPCS/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.48 score 1 stars 1 packages 4 scripts 334 downloads 4 exports 3 dependencies

Last updated 9 months agofrom:2ba7dbabaa. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-win-x86_64OKNov 02 2024
R-4.5-linux-x86_64OKNov 02 2024
R-4.4-win-x86_64OKNov 02 2024
R-4.4-mac-x86_64OKNov 02 2024
R-4.4-mac-aarch64OKNov 02 2024
R-4.3-win-x86_64OKNov 02 2024
R-4.3-mac-x86_64OKNov 02 2024
R-4.3-mac-aarch64OKNov 02 2024

Exports:FastPCSFPCSnumStartsplot.FastPCSquanf

Dependencies:matrixStatsRcppRcppEigen