Imports: MASS, magic, statmod, polycor, VineCopula, survey, trust
Packaged: 2013-10-02 11:52:56 UTC; giampiero

Imports: MASS, magic, statmod, polycor, VineCopula, survey, trust,

Packaged: 2012-05-08 13:26:47 UTC; giampiero

Imports: magic, VineCopula, VGAM, survey, trust, Matrix, sn

Title: Semiparametric Bivariate Regression Models
Description: Routine for fitting bivariate models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Imports: magic, VGAM, survey, trust, VineCopula

Description: Routines for fitting bivariate models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Packaged: 2015-12-07 14:22:11 UTC; giampiero

Title: Semiparametric Copula Regression Models
Description: Routines for fitting copula models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
utils, grDevices, ggplot2, matrixStats, mnormt
Packaged: 2016-05-06 12:14:13 UTC; giampiero

Title: Semiparametric Copula Bivariate Regression Models
Description: Routines for fitting copula bivariate models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.

Description: Routines for fitting several classes of copula regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Packaged: 2017-01-17 23:54:17 UTC; Giampiero

Description: 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.