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:
Kurt_1.1.tar.gz
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:dcc7dca11c. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | OK | 161 | ||
| wasm-release | OK | 92 |
Exports:Cum4ExtKurExtKurBivFourthFourth4NoKurtoptikScalarKurt
