Routine for fitting bivariate probit models with semiparametric predictors (including linear and nonlinear effects) in the presence of correlated error equations, endogeneity, sample selection or partial observability. Bivariate copula models are also supported.
magic, CDVine, VineCopula, VGAM, survey, trust, Matrix, sn

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.

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

R (>= 2.14.0), MASS, VGAM, magic, statmod, mgcv, trust,
mvtnorm, polycor

Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk> with contributions from Georgios Papageorgiou <gpapageo@gmail.com>
Routine for fitting bivariate probit models with semiparametric predictors (including linear, nonlinear and random effects) in the presence of correlated error equations, endogeneity or sample selection. Bivariate copula models are also supported.
R (>= 2.15.1), CDVine, VGAM, mgcv, mvtnorm
magic, MASS, polycor, statmod, trust, VineCopula

MASS, magic, statmod, polycor, VineCopula, survey, trust

MASS, magic, statmod, polycor, VineCopula, survey, trust,
matrixStats

magic, VineCopula, VGAM, survey, trust, Matrix, sn

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.

magic, VGAM, survey, trust, VineCopula, graphics, stats,
utils, grDevices

Routines 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.
magic, VGAM, survey, trust, VineCopula, graphics, stats,
utils, grDevices, ggplot2