convCheck

convCheck.relative

convCheck.square

convCheck.absolute

Wnew

Weight matrix from the previous iteration

Wold

The convergence check functions compare two weight matrices and returns the value of the
convergence criterion describing the difference between the two weight matrices.

Partial Least Squares Path Modeling
algorithm and related algorithms. The algorithm implementations aim for
computational efficiency using matrix algebra and covariance data. The
package is designed toward Monte Carlo simulations and includes functions
to perform simple Monte Carlo simulations.

Mikko R<c3><b6>nkk<c3><b6>

matrixpls

Matrix-Based Partial Least Squares Estimation

convCheck function

<ul>
<li><code>convCheck.relative</code>: maximum of relative differences between
weights from two iterations</li>
<li><code>convCheck.square</code>: maximum of squared absolute 
differences between weights from two iterations.</li>
<li><code>convCheck.absolute</code>: maximum of absolute differences
between weights from two iterations</li>
</ul>

convCheck: Convergence checks

Description

Usage

Arguments

Value

Functions