Routine for fitting bivariate probit models with semiparametric predictors (including linear, nonlinear and nonparametric random effects) in the presence of correlated error equations, endogeneity or sample selection.
| Version: | 3.2-6 |
| Depends: | R (≥ 2.14.0), MASS, VGAM, magic, statmod, mgcv, trust, mvtnorm, polycor |
| Published: | 2013-04-29 |
| Author: | Giampiero Marra and Rosalba Radice with contributions from Georgios Papageorgiou |
| Maintainer: | Giampiero Marra <giampiero.marra at ucl.ac.uk> |
| License: | GPL (≥ 2) |
| URL: | http://www.ucl.ac.uk/statistics/people/giampieromarra |
| NeedsCompilation: | no |
| CRAN checks: | SemiParBIVProbit results |
| Package source: | SemiParBIVProbit_3.2-6.tar.gz |
| MacOS X binary: | SemiParBIVProbit_3.2-6.tgz |
| Windows binary: | SemiParBIVProbit_3.2-6.zip |
| Reference manual: | SemiParBIVProbit.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | SemiParBIVProbit archive |