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mvpd  

Multivariate Product Distributions for Elliptically Contoured Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mvpd", "0.0.4")



Attach the package and use:
library("mvpd")
Maintained by
Bruce Swihart
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-23
Latest Update: 2023-09-03
Description:
Estimates multivariate subgaussian stable densities and probabilities as well as generates random variates using product distribution theory. A function for estimating the parameters from data to fit a distribution to data is also provided, using the method from Nolan (2013) .
How to cite:
Bruce Swihart (2022). mvpd: Multivariate Product Distributions for Elliptically Contoured Distributions. R package version 0.0.4, https://cran.r-project.org/web/packages/mvpd. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.0.1 (2022-03-23 10:00), 0.0.2 (2022-03-31 00:50), 0.0.3 (2022-06-20 22:40)
Other packages that cited mvpd R package
View mvpd citation profile
Other R packages that mvpd depends, imports, suggests or enhances
Complete documentation for mvpd
Functions, R codes and Examples using the mvpd R package
Some associated functions: adaptIntegrate_inf_limPD . dmvss . fit_mvss . mvpd . pmvss . pmvss_mc . rmvss . 
Some associated R codes: adaptIntegrate_inf_lim.R . dmvss.R . fit_mvss.R . mvpd.R . pmvss.R . pmvss_mc.R . rmvss.R .  Full mvpd package functions and examples
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