SemiParBIVProbit (3.8-2)

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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.

Maintainer: Giampiero Marra
Author(s): Giampiero Marra <> and Rosalba Radice <>

License: GPL (>= 2)

Uses: copula, gamlss.dist, ggplot2, magic, matrixStats, mgcv, mnormt, psych, Rmpfr, scam, survey, survival, trust, VGAM, VineCopula
Enhances: sp

Released almost 3 years ago.

40 previous versions



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