logLik.hpaSelection

This function calculates log-likelihood for "hpaSelection" object

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>.

Potanin Bogdan

Distributions Hermite Polynomial Approximation

logLik.hpaSelection function

<dl><dt>object</dt>
<dd>Object of class "hpaSelection"</dd>
<dt>...</dt>
<dd>further arguments (currently ignored)</dd></dl>

Arguments

Calculates log-likelihood for "hpaSelection" object — logLik.hpaSelection

<dl>

<dt>object</dt>
<dd>Object of class "hpaSelection"</dd>


<dt>...</dt>
<dd>further arguments (currently ignored)</dd>

</dl>

logLik.hpaSelection: Calculates log-likelihood for "hpaSelection" object

Description

Usage

Arguments