predict.SemiParBIVProbit

A fitted <code>SemiParBIVProbit</code> object as produced by <code>SemiParBIVProbit()</code>.

object

The equation to be considered for prediction.

Other arguments as in <code>predict.gam()</code> in <code>mgcv</code>.

It takes a fitted <code>SemiParBIVProbit</code> object produced by <code>SemiParBIVProbit()</code> and produces predictions 
for a new set of values of the model covariates or the original values used for the model fit. 
Standard errors of predictions can be produced. These are based on the posterior distribution of the model coefficients.

This function is based on <code>predict.gam()</code> in <code>mgcv</code>. Please see the documentation of <code>mgcv</code> for full details.

model

prediction

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.

predict.SemiParBIVProbit: Prediction from fitted SemiParBIVProbit model

Description

Usage

Arguments

See Also