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Kurt  

Performs Kurtosis-Based Statistical Analyses
View on CRAN: Click here


Download and install Kurt package within the R console
Install from CRAN:
install.packages("Kurt")

Install from Github:
library("remotes")
install_github("cran/Kurt")

Install by package version:
library("remotes")
install_version("Kurt", "1.1")



Attach the package and use:
library("Kurt")
Maintained by
Cinzia Franceschini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-21
Latest Update: 2021-09-20
Description:
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".
How to cite:
Cinzia Franceschini (2020). Kurt: Performs Kurtosis-Based Statistical Analyses. R package version 1.1, https://cran.r-project.org/web/packages/Kurt. Accessed 26 Oct. 2026.
Previous versions and publish date:
1.0 (2020-02-21 15:00), (2026-07-09 08:07)
Other packages that cited Kurt R package
View Kurt citation profile
Other R packages that Kurt depends, imports, suggests or enhances
Complete documentation for Kurt
Functions, R codes and Examples using the Kurt R package
Some associated functions: Cum4 . ExtKur . ExtKurBiv . Fourth . Fourth4 . Kurt-package . NoKurt . ScalarKurt . optik . 
Some associated R codes: Cum4.R . ExtKur.R . ExtKurBiv.R . Fourth.R . Fourth4.R . NoKurt.R . ScalarKurt.R . optik.R .  Full Kurt package functions and examples
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