SemiParBIVProbit: Semiparametric Bivariate Regression Models

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.

Version: 3.5
Depends: R (≥ 3.2.1), mgcv
Imports: magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices
Published: 2015-07-22
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_3.5.tar.gz
Windows binaries: r-devel: SemiParBIVProbit_3.5.zip, r-release: SemiParBIVProbit_3.5.zip, r-oldrel: SemiParBIVProbit_3.4.zip
OS X Snow Leopard binaries: r-release: SemiParBIVProbit_3.5.tgz, r-oldrel: SemiParBIVProbit_3.3.tgz
OS X Mavericks binaries: r-release: SemiParBIVProbit_3.4.tgz
Old sources: SemiParBIVProbit archive