View source: R/bprobgHsDiscr1.r
bprobgHsDiscr1 | R Documentation |
It provides the log-likelihood, gradient and observed information matrix for penalized/unpenalized maximum likelihood optimization when copula models with binary and discrete margins are employed.
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
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