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: 1.0
Depends: labstatR (≥ 1.0.9), matrixcalc (≥ 1.0.3), polynom (≥ 1.4.0), expm (≥ 0.999-4)
Published: 2020-02-21
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_1.0.tar.gz
Windows binaries: r-devel: Kurt_1.0.zip, r-devel-gcc8: Kurt_1.0.zip, r-release: Kurt_1.0.zip, r-oldrel: Kurt_1.0.zip
OS X binaries: r-release: Kurt_1.0.tgz, r-oldrel: Kurt_1.0.tgz

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