criterion

<code>criterion</code> calculates various information criterion for the algorithms in this package

Methods for fitting semi-parametric mean and variance models, with normal or censored data. Extended to allow a regression in the location, scale and shape parameters, and further for multiple regression in each.

Kristy Robledo

VarReg

Semi-Parametric Variance Regression

Ian Marschner

criterion function

<dl><dt>n</dt>
<dd>Number of observations</dd>
<dt>loglik</dt>
<dd>Loglikelihood from model</dd>
<dt>param</dt>
<dd>Number of parameters fit in model</dd></dl>

Arguments

Calculation of information criterion — criterion

<dl>

<dt>n</dt>
<dd>Number of observations</dd>


<dt>loglik</dt>
<dd>Loglikelihood from model</dd>


<dt>param</dt>
<dd>Number of parameters fit in model</dd>

</dl>

criterion: Calculation of information criterion

Description

Usage

Value

Arguments