Package: maxstablePCA 0.1.2

Felix Reinbott

maxstablePCA: Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions

Dimension reduction for multivariate data of extreme events with a PCA like procedure as described in Reinbott, Janßen, (2024), <doi:10.48550/arXiv.2408.10650>. Tools for necessary transformations of the data are provided.

Authors:Felix Reinbott [aut, cre]

maxstablePCA_0.1.2.tar.gz
maxstablePCA_0.1.2.tar.gz(r-4.7-arm64)maxstablePCA_0.1.2.tar.gz(r-4.7-x86_64)maxstablePCA_0.1.2.tar.gz(r-4.6-arm64)maxstablePCA_0.1.2.tar.gz(r-4.6-x86_64)
maxstablePCA_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
maxstablePCA/json (API)

# Install 'maxstablePCA' in R:
install.packages('maxstablePCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • elbe - A dataset about daily average river discharges (in m^3 / s) for the Elbe river network at different measurement stations in Germany

On CRAN:

Conda:

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

1.70 score 3 scripts 206 downloads 7 exports 1 dependencies

Last updated from:f5169170b5. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK118
source / vignettesOK192
linux-release-arm64OK117
linux-release-x86_64OK113
wasm-releaseOK101

Exports:compressmax_stable_prcompmaxmatmulreconstructtransform_orig_marginstransform_unitfrechettransform_unitpareto

Dependencies:nloptr