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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