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copula (version 0.6-1)

Multivariate Dependence with Copula

Description

Classes (S4) of commonly used copulas including elliptical, Archimidean, extreme value and Farlie-Gumbel-Morgenstern families. Methods for density, distribution, random number generators, bivariate association measures, persp, and contour. Functions for fitting copula models. Independence tests among random variables and random vectors based on the empirical copula process.

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Version

Install

install.packages('copula')

Monthly Downloads

12,864

Version

0.6-1

License

GPL version 2 or later.

Maintainer

Jun Yan

Last Published

December 21st, 2018

Functions in copula (0.6-1)

contour-methods

Methods for Function contour in Package `copula'
persp-methods

Methods for Function persp in Package `copula'
evCopula-class

Class "evCopula"
archmCopula-class

Class "archmCopula"
AssocMeasures

Association Measures in Package `copula'
Mvdc

Multivariate Distribution via Copula
show-methods

Methods for Function show in Package `copula'
ellipCopula

Construction of Elliptical Copula Class Object
fitCopula-class

Class "fitCopula"
generator

Generators for Archimedean and EV Copulas
summary-methods

Methods for Function summary in Package `copula'
fgmCopula-class

Class "fgmCopula"
archmCopula

Construction of Archimedean Copula Class Object
plackettCopula

Construction of Plackett Copula Class Object
empcop.test

Independence test among continuous random variables based on the empirical copula process
empcop.rv.test

Independence test among continuous random vectors based on the empirical copula process
fgmCopula

Construction of a fgmCopula Class Object
ellipCopula-class

Class "ellipCopula"
Copula

The Copula Distribution
fitCopula

Maximum Likelihood Estimation of Copula Models
mvdc-class

Class "mvdc"
evCopula

Construction of Extreme Value Copula Class Object
copula-class

Class "copula"