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".

Version: 1.1
Depends: labstatR (≥ 1.0.11), matrixcalc (≥ 1.0.5), polynom (≥ 1.4-0), expm (≥ 0.999-6)
Published: 2021-09-20
Author: Cinzia Franceschini [aut, cre], Nicola Loperfido [aut]
Maintainer: Cinzia Franceschini <cinziafranceschini at msn.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Kurt results

Downloads:

Reference manual: Kurt.pdf
Package source: Kurt_1.1.tar.gz
Windows binaries: r-devel: Kurt_1.1.zip, r-release: Kurt_1.1.zip, r-oldrel: Kurt_1.1.zip
macOS binaries: r-release (arm64): Kurt_1.1.tgz, r-release (x86_64): Kurt_1.1.tgz, r-oldrel: Kurt_1.1.tgz
Old sources: Kurt archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Kurt to link to this page.