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matrixpls (version 0.4.0)
convCheck.square: Squared difference convergence check criterion
Description
Compares two weight matrices and returns the value of the square difference convergence criterion.
Usage
convCheck.square(Wnew, Wold)
Arguments
Wnew
Current weight matrix
Wold
Weight matrix from the previous iteration
Value
Scalar value of the convergence criterion
Details
Squared difference convergence criterion is the maximum of squared absolute differences between weights from two iterations
See Also
Other Convergence checks:
convCheck.absolute
;
convCheck.relative