AIC_hpaML

object

<p>numeric, the penalty per parameter to be used; the default k = 2 is 
the classical AIC.</p>

<p>This function calculates AIC for "hpaML" object</p>

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

AIC_hpaML: Calculates AIC for "hpaML" object

Description

Usage

Arguments