Package: SemiParBIVProbit
Version: 3.2-10
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>
Title: Semiparametric Bivariate Probit Modelling
Description: Routine for fitting bivariate probit models with semiparametric predictors (including linear and nonlinear effects) in the presence of correlated error equations, endogeneity or sample selection. Bivariate copula models are also supported.
Depends: R (>= 2.14.0), CDVine (>= 1.1-13), VGAM (>= 0.9-2), mgcv (>=
        1.7-26), mvtnorm (>= 0.9-9996)
Imports: MASS, magic, polycor, VineCopula, survey, trust, matrixStats,
        Matrix
LazyLoad: yes
License: GPL (>= 2)
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
Repository: CRAN
Date/Publication: 2014-02-14 16:12:37
Packaged: 2014-02-14 13:21:34 UTC; giampiero
NeedsCompilation: no
