Goodness-of-Fit Tests for Copulae

Several Goodness-of-Fit (GoF) tests for Copulae are provided. A new hybrid test, Zhang et al. (2016) is implemented which supports all of the individual tests in the package, e.g. Genest et al. (2009) . Estimation methods for the margins are provided and all the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. For reproducibility of results, the functions support the definition of seeds. Also all the tests support automatized parallelization of the bootstrapping tasks. The package provides an interface to perform new GoF tests by submitting the test statistic.


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install.packages("gofCopula")

0.3-2 by Simon Trimborn, 4 days ago


Browse source code at https://github.com/cran/gofCopula


Authors: Ostap Okhrin <[email protected]> , Simon Trimborn <[email protected]> , Martin Waltz <[email protected]>


Documentation:   PDF Manual  


GPL (>= 3) license


Imports SparseGrid, numDeriv, VineCopula, methods, stats, MASS, utils, yarrr, progress, crayon

Depends on copula, foreach, parallel, doSNOW, R.utils


See at CRAN