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.tar.gz(r-4.5-noble)Kurt_1.1.tar.gz(r-4.4-noble)
Kurt_1.1.tgz(r-4.4-emscripten)Kurt_1.1.tgz(r-4.3-emscripten)
Kurt.pdf |Kurt.html✨
Kurt/json (API)

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

Peer review:

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

8 exports 1.16 score 6 dependencies 4 mentions 180 downloads

Last updated 3 years agofrom:dcc7dca11c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-linuxOKAug 29 2024

Exports:Cum4ExtKurExtKurBivFourthFourth4NoKurtoptikScalarKurt

Dependencies:expmlabstatRlatticeMatrixmatrixcalcpolynom