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: |
3.6 |
Depends: |
R (≥ 3.2.1), mgcv |
Imports: |
magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2 |
Enhances: |
sp |
Published: |
2015-08-24 |
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 |