Bivariate copulas are estimated based on BiCopEst and vine copulas through RVineStructureSelect or RVineCopSelect depending on the method argument.

BCfitCopula(copula, data, method = "ml")



an object of the desired copula class


a matrix holding the U(0,1) distributed data columns


for BIVARIATE copulas either "ml" or "itau" for maximum likelihood estimation or inverse tau estimation (for one parameter families) respectively. See BiCopEst for details. In case of a VINE copulas a list with names entries StructureSelect (default: FALSE), indeptest (default: FALSE), familyset (default: 'NA') and indeptest (default: FALSE). See RVineStructureSelect or RVineCopSelect for details.


an object of class fitCopula as in the copula package.


u <- rCopula(1000, tawnT1Copula(c(3, 0.5)))

fitCopula(tawnT1Copula(), u)
#> Found more than one class "tawnT1Copula" in cache; using the first, from namespace 'VC2copula'
#> Also defined by ‘VineCopula’
#> Call: fitCopula(copula, data = data)
#> Fit based on "mle" and 1000 2-dimensional observations.
#> Copula: tawnT1Copula 
#> param1 param2 
#> 3.2225 0.4934 
#> The maximized loglikelihood is 326