rsem.weight

Calculate weight for each subject in estimating the mean and covariance matrix.

A robust procedure is implemented to estimate means and covariance matrix of multiple variables with missing data using Huber weight and then to estimate a structural equation model.

Zhiyong Zhang

rsem

Robust Structural Equation Modeling with Missing Data and
Auxiliary Variables

rsem.weight function

<dl> <dt>x</dt>
<dd>Data</dd> <dt>varphi</dt>
<dd>Downweight rate.</dd> <dt>mu0</dt>
<dd>Robust mean</dd> <dt>sig0</dt>
<dd>Robust covariance matrix.</dd></dl>

Arguments

Author

Calculate weight for each subject — rsem.weight

<dl>

 <dt>x</dt>
<dd>Data</dd>

 <dt>varphi</dt>
<dd>Downweight rate.</dd>

 <dt>mu0</dt>
<dd>Robust mean</dd>

 <dt>sig0</dt>
<dd>Robust covariance matrix.</dd>

</dl>

rsem.weight: Calculate weight for each subject

Description

Usage

Value

Arguments

Author

References