rsem.ssq

Calculate the squared sum of a 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.ssq function

<dl> <dt>x</dt>
<dd>A matrix</dd></dl>

Arguments

Author

Calculate the squared sum of a matrix — rsem.ssq

<dl>

 <dt>x</dt>
<dd>A matrix</dd>

</dl>

rsem.ssq: Calculate the squared sum of a matrix

Description

Usage

Arguments

Author

References

Examples