estfun.Rchoice

It extracts the gradient for each observations evaluated at the estimated parameters for a model of class <code>Rchoice</code>

An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.

Mauricio Sarrias

Rchoice

Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters

Yves Croissant

Achim Zeileis

estfun.Rchoice function

<dl><dt>x</dt>
<dd>a fitted model of class <code>Rchoice</code>,</dd>
<dt>...</dt>
<dd>Other arguments when <code>estfun</code> is applied to another
class object</dd></dl>

Arguments

Gradient for observations — estfun.Rchoice

<dl>

<dt>x</dt>
<dd>a fitted model of class <code>Rchoice</code>,</dd>


<dt>...</dt>
<dd>Other arguments when <code>estfun</code> is applied to another
class object</dd>

</dl>

estfun.Rchoice: Gradient for observations

Description

Usage

Value

Arguments

Details

References