SemiParBIVProbit (3.2-6)

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Semiparametric Bivariate Probit Modelling.

http://www.ucl.ac.uk/statistics/people/giampieromarra
http://cran.r-project.org/web/packages/SemiParBIVProbit

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.

Maintainer: Giampiero Marra
Author(s): Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk> with contributions from Georgios Papageorgiou <gpapageo@gmail.com>

License: GPL (>= 2)

Uses: magic, MASS, mgcv, mvtnorm, polycor, statmod, trust, VGAM

Released about 1 month ago.


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