coef.hpaSelection

Extract coefficients from 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

coef.hpaSelection function

<dl><dt>object</dt>
<dd>Object of class "hpaSelection"</dd>
<dt>...</dt>
<dd>further arguments (currently ignored)</dd>
<dt>type</dt>
<dd>character; if "all" (default) then all estimated parameters
values will be returned. If "selection" then selection equation coefficients
estimates will be provided. If "outcome" then outcome equation coefficients
estimates will be returned.</dd></dl>

Arguments

Extract coefficients from hpaSelection object — coef.hpaSelection

<dl>

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


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


<dt>type</dt>
<dd>character; if "all" (default) then all estimated parameters
values will be returned. If "selection" then selection equation coefficients
estimates will be provided. If "outcome" then outcome equation coefficients
estimates will be returned.</dd>

</dl>

coef.hpaSelection: Extract coefficients from hpaSelection object

Description

Usage

Arguments