convCheck.absolute

convCheck.relative

convCheck.square

convergenceCheck

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 Rönkkö

matrixpls

Matrix-Based Partial Least Squares Estimation

convergenceCheck 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>

convergenceCheck: Convergence checks

Description

Usage

Arguments

Value

Functions