estfun.aldvmm

The method <code>estfun.aldvmm</code> for the generic function 
<code>estfun</code> calculates the gradient of the aldvmm 
log-likelihood using with respect to parameter values for each observation
<code>aldvmm.sc</code>.

The goal of the package 'aldvmm' is to fit adjusted limited
dependent variable mixture models of health state utilities. Adjusted
limited dependent variable mixture models are finite mixtures of normal
distributions with an accumulation of density mass at the limits, and a gap
between 100% quality of life and the next smaller utility value. The
package 'aldvmm' uses the likelihood and expected value functions proposed
by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using
normal component distributions and a multinomial logit model of
probabilities of component membership.

Mark Pletscher

aldvmm

Adjusted Limited Dependent Variable Mixture Models

Achim Zeileis

estfun.aldvmm function

<dl><dt>x</dt>
<dd>an object inheriting from class "aldvmm".</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Create Matrix of Adjusted Limited Dependent Variable Mixture Model Gradients per Observation — estfun.aldvmm

<dl>

<dt>x</dt>
<dd>an object inheriting from class "aldvmm".</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

estfun.aldvmm: Create Matrix of Adjusted Limited Dependent Variable Mixture Model Gradients per Observation

Description

Usage

Value

Arguments