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: | 3.2-13.2 |
Depends: | R (≥ 3.1.1), mgcv, mvtnorm |
Imports: | magic, CDVine, VineCopula, VGAM, survey, trust, Matrix, sn |
Published: | 2015-01-15 |
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 |
Reference manual: | SemiParBIVProbit.pdf |
Package source: | SemiParBIVProbit_3.2-13.2.tar.gz |
Windows binaries: | r-devel: SemiParBIVProbit_3.2-13.2.zip, r-release: SemiParBIVProbit_3.2-13.2.zip, r-oldrel: SemiParBIVProbit_3.2-12.zip |
OS X Snow Leopard binaries: | r-release: SemiParBIVProbit_3.2-13.2.tgz, r-oldrel: SemiParBIVProbit_3.2-12.tgz |
OS X Mavericks binaries: | r-release: SemiParBIVProbit_3.2-13.2.tgz |
Old sources: | SemiParBIVProbit archive |