valid

A generic method used to return <code>TRUE</code> if the
 values of the paramters use for a nonparametric/semiparametric
 mixture are valid, or <code>FALSE</code> if otherwise.

Mainly for maximum likelihood estimation of nonparametric
and semiparametric mixture models, but can also be used
for fitting finite mixtures. The algorithms are
developed in Wang (2007)
<doi:10.1111/j.1467-9868.2007.00583.x> and Wang (2010)
<doi:10.1007/s11222-009-9117-z>.

Yong Wang

nspmix

Nonparametric and Semiparametric Mixture Estimation

valid function

<dl><dt>x</dt>
<dd>an object of a class for data.</dd>
<dt>beta</dt>
<dd>instrumental parameter in a semiparametric mixture.</dd>
<dt>theta</dt>
<dd>values of the mixing variable.</dd></dl>

Arguments

Yong Wang &lt;yongwang@auckland.ac.nz&gt;

Author

Valid parameter values — valid

<dl>

<dt>x</dt>
<dd>an object of a class for data.</dd>


<dt>beta</dt>
<dd>instrumental parameter in a semiparametric mixture.</dd>


<dt>theta</dt>
<dd>values of the mixing variable.</dd>

</dl>

valid: Valid parameter values

Description

Usage

Value

Arguments

Author