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mnonr
View on CRAN: Click
here
Download and install mnonr package within the R console
Install from CRAN:
install.packages("mnonr")
Install from Github:
library("remotes")
install_github("cran/mnonr")
Install by package version:
library("remotes")
install_version("mnonr", "1.0.0")
Attach the package and use:
library("mnonr")
Maintained by
Wen Qu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-11
Latest Update: 2020-02-11
Description:
A data generator of multivariate non-normal data in R. It combines two different methods to generate non-normal data, one with user-specified multivariate skewness and kurtosis (more details can be found in the paper: Qu, Liu, & Zhang, 2019 ), and the other with the given marginal skewness and kurtosis. The latter one is the widely-used Vale and Maurelli's method. It also contains a function to calculate univariate and multivariate (Mardia's Test) skew and kurtosis.
How to cite:
Wen Qu (2020). mnonr: A Generator of Multivariate Non-Normal Random Numbers. R package version 1.0.0, https://cran.r-project.org/web/packages/mnonr
Previous versions and publish date:
No previous versions
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Functions, R codes and Examples using
the mnonr R package
Some associated functions: mardia . mnonr . unonr .
Some associated R codes: mardia.R . mnonr.R . unonr.R . Full mnonr package functions and examples
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