updateBeta

internal function for updating beta through Fisher Scoring

Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response.
Reference for mean score method, inverse probability weighted method is
Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.

Atanu Bhattacharjee

MIIPW

IPW and Mean Score Methods for Time-Course Missing Data

Bhrigu Kumar Rajbongshi

Gajendra K Vishwakarma

updateBeta function

<dl><dt>y</dt>
<dd>response value for GEE model</dd>
<dt>x</dt>
<dd>model matrix for the GEE model</dd>
<dt>vfun</dt>
<dd>variance function for the GLM</dd>
<dt>mu</dt>
<dd>mu vector for the GLM</dd>
<dt>w</dt>
<dd>weight matrix</dd>
<dt>D</dt>
<dd>derivation of the inverse link function</dd>
<dt>Ralpha</dt>
<dd>correlation matrix</dd>
<dt>beta</dt>
<dd>vector of beta value for GEE model</dd></dl>

Arguments

internal function for updating beta through Fisher Scoring — updateBeta

<dl>

<dt>y</dt>
<dd>response value for GEE model</dd>


<dt>x</dt>
<dd>model matrix for the GEE model</dd>


<dt>vfun</dt>
<dd>variance function for the GLM</dd>


<dt>mu</dt>
<dd>mu vector for the GLM</dd>


<dt>w</dt>
<dd>weight matrix</dd>


<dt>D</dt>
<dd>derivation of the inverse link function</dd>


<dt>Ralpha</dt>
<dd>correlation matrix</dd>


<dt>beta</dt>
<dd>vector of beta value for GEE model</dd>

</dl>

updateBeta: internal function for updating beta through Fisher Scoring

Description

Usage

Arguments