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One-step-ahead predictive quantile residuals (Masarotto and Varin, 2012, 2017) from a model fitted by fit_copula(): the standardized innovations evaluated at the maximum-likelihood estimates. Under correct specification and known parameters, these are i.i.d. standard normal; see the paper's Proposition 1 for the finite-sample statement.

Usage

qresiduals(fit)

Arguments

fit

A list as returned by fit_copula().

Value

A list with components r (the residuals), mu, shape (the fitted marginal parameters) and eps (the untransformed latent scale).

See also