Package: Kurt 1.1

Cinzia Franceschini

Kurt: Performs Kurtosis-Based Statistical Analyses

Computes measures of multivariate kurtosis, matrices of fourth-order moments and cumulants, kurtosis-based projection pursuit. Franceschini, C. and Loperfido, N. (2018, ISBN:978-3-319-73905-2). "An Algorithm for Finding Projections with Extreme Kurtosis". Loperfido, N. (2017,ISSN:0024-3795). "A New Kurtosis Matrix, with Statistical Applications".

Authors:Cinzia Franceschini [aut, cre], Nicola Loperfido [aut]

Kurt_1.1.tar.gz
Kurt_1.1.zip(r-4.7-any)Kurt_1.1.zip(r-4.6-any)
Kurt_1.1.tar.gz(r-4.7-any)Kurt_1.1.tar.gz(r-4.6-any)
Kurt_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Kurt/json (API)

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

On CRAN:

Conda:

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

1.60 score 263 downloads 4 mentions 8 exports 6 dependencies

Last updated from:dcc7dca11c. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK121
source / vignettesOK223
linux-releaseOK154
windows-develOK79
windows-releaseOK77
wasm-releaseOK115

Exports:Cum4ExtKurExtKurBivFourthFourth4NoKurtoptikScalarKurt

Dependencies:expmlabstatRlatticeMatrixmatrixcalcpolynom