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: 3.2-13
Depends: R (≥ 3.1.1), mgcv, mvtnorm
Imports: magic, CDVine, VineCopula, VGAM, survey, trust, Matrix, sn
Published: 2014-12-19
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
Materials: ChangeLog
CRAN checks: SemiParBIVProbit results

Downloads:

Reference manual: SemiParBIVProbit.pdf
Package source: SemiParBIVProbit_3.2-13.tar.gz
Windows binaries: r-devel: SemiParBIVProbit_3.2-13.zip, r-release: SemiParBIVProbit_3.2-13.zip, r-oldrel: SemiParBIVProbit_3.2-12.zip
OS X Snow Leopard binaries: r-release: SemiParBIVProbit_3.2-13.tgz, r-oldrel: SemiParBIVProbit_3.2-12.tgz
OS X Mavericks binaries: r-release: SemiParBIVProbit_3.2-13.tgz
Old sources: SemiParBIVProbit archive