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mvpd
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]
[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 04 Jan. 2025.
Previous versions and publish date:
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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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