Classes of Fitted Multivariate Models: Copula, Mvdc
Classes and summary methods related to copula model fitting.
The “mother class”, "fittedMV" has the slots
estimate:numeric, the estimated parameters.
var.est:numeric, variance matrix estimate of
the parameter estimator. See note below.
loglik:numeric, log likelihood evaluated at
the maximizer.
nsample:numeric, integer representing the
sample size.
method:character, method of estimation.
fitting.stats:a list, currently
containing the numeric convergence code from
optim, the counts, message, and all
the control arguments explicitly passed to optim().
Since copula version 1.0-1 also keeps information about
parameter transformations, currently needed only for
mixCopula fits with free weights.
In addition, the "fitCopula" class has a slot
copula:the fitted copula, of class
"copula".
whereas the "fitMvdc" has
mvdc:the fitted distribution, of class
"mvdc".
Classes "fitCopula" and "fitMvdc" extend class
"fittedMV", directly.
signature(object = "fitMvdc"): ...
signature(object = "fitCopula"): ...
Genest, C., Ghoudi, K., and Rivest, L.-P. (1995). A semiparametric estimation procedure of dependence parameters in multivariate families of distributions. Biometrika 82, 543–552.
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