copula
Enjoy the Joy of Copulas: With a Package copula. Copulas have become a popular tool in multivariate modeling successfully applied in many fields. A good open-source implementation of copulas is much needed for more practitioners to enjoy the joy of copulas. This article presents the design, features, and some implementation details of the R package copula. The package provides a carefully designed and easily extensible platform for multivariate modeling with copulas in R. S4 classes for most frequently used elliptical copulas and Archimedean copulas are implemented, with methods for density/distribution evaluation, random number generation, and graphical display. Fitting copula-based models with maximum likelihood method is provided as template examples. With the classes and methods in the package, the package can be easily extended by user-defined copulas and margins to solve problems
This software is also peer reviewed by journal JSS.
This software is also peer reviewed by journal JSS.
Keywords for this software
References in zbMATH (referenced in 148 articles , 1 standard article )
Showing results 141 to 148 of 148.
Sorted by year (- Kojadinovic, Ivan; Yan, Jun: Comparison of three semiparametric methods for estimating dependence parameters in copula models (2010)
- Kojadinovic, Ivan; Yan, Jun: Nonparametric rank-based tests of bivariate extreme-value dependence (2010)
- Schomaker, Michael; Wan, Alan T. K.; Heumann, Christian: Frequentist model averaging with missing observations (2010)
- Klemelä, Jussi: Smoothing of multivariate data. Density estimation and visualization (2009)
- Kojadinovic, Ivan; Holmes, Mark: Tests of independence among continuous random vectors based on Cramér-von Mises functionals of the empirical copula process (2009)
- Omelka, Marek; Gijbels, Irène; Veraverbeke, Noël: Improved kernel estimation of copulas: weak convergence and goodness-of-fit testing (2009)
- Sun, Jiafeng; Frees, Edward W.; Rosenberg, Marjorie A.: Heavy-tailed longitudinal data modeling using copulas (2008)
- Jun Yan: Enjoy the Joy of Copulas: With a Package copula (2007) not zbMATH