Package: SemiParBIVProbit
Version: 3.3
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 models for binary responses with semiparametric predictors (including linear and nonlinear effects) in the presence of correlated error equations, endogeneity, non-random sample selection or partial observability.
Depends: R (>= 3.1.1), mgcv, mvtnorm
Imports: magic, VineCopula, VGAM, survey, trust, Matrix, sn
LazyLoad: yes
License: GPL (>= 2)
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
Repository: CRAN
Date/Publication: 2015-02-09 20:04:41
Packaged: 2015-02-09 17:22:49 UTC; G&R
NeedsCompilation: no
Built: R 3.1.2; ; 2015-02-10 14:59:40 UTC; unix
