SemiParBIVProbit: Semiparametric Bivariate Probit Modelling

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.

Version: 3.3
Depends: R (≥ 3.1.1), mgcv, mvtnorm
Imports: magic, VineCopula, VGAM, survey, trust, Matrix, sn
Published: 2015-02-09
Author: Giampiero Marra and Rosalba Radice
Maintainer: Giampiero Marra <giampiero.marra at ucl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
NeedsCompilation: no
Citation: SemiParBIVProbit citation info
Materials: ChangeLog
CRAN checks: SemiParBIVProbit results

Downloads:

Reference manual: SemiParBIVProbit.pdf
Package source: SemiParBIVProbit_3.3.tar.gz
Windows binaries: r-devel: SemiParBIVProbit_3.3.zip, r-release: SemiParBIVProbit_3.3.zip, r-oldrel: SemiParBIVProbit_3.3.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: SemiParBIVProbit_3.3.tgz
OS X Mavericks binaries: r-release: not available
Old sources: SemiParBIVProbit archive