SemiParBIVProbit: Semiparametric Copula Regression Models

Routines for fitting various copula regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.

Package details

AuthorGiampiero Marra <> and Rosalba Radice <>
MaintainerGiampiero Marra <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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SemiParBIVProbit documentation built on June 20, 2017, 9:03 a.m.