S.mPL

It provides penalty matrices in a format suitable for the automatic smoothness estimation 
procedure when an asymmetric link approach is used.

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.

S.mPL: Internal Function

Description

Arguments