predict.hpaML

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

predict.hpaML function

<dl><dt>object</dt>
<dd>Object of class "hpaML"</dd>
<dt>...</dt>
<dd>further arguments (currently ignored)</dd>
<dt>newdata</dt>
<dd>An optional data frame (for hpaBinary and
hpaSelection) or numeric matrix (for hpaML)
in which to look for variables with which to predict. If omitted,
the original data frame (matrix) used.</dd></dl>

Arguments

Predict method for hpaML — predict.hpaML

<dl>

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


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


<dt>newdata</dt>
<dd>An optional data frame (for hpaBinary and
hpaSelection) or numeric matrix (for hpaML)
in which to look for variables with which to predict. If omitted,
the original data frame (matrix) used.</dd>

</dl>

predict.hpaML: Predict method for hpaML

Description

Usage

Value

Arguments