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 |