ibr (version 1.3.1)

iterchoiceS1cv: Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother

Description

The function iterchoiceS1cv searches the interval from mini to maxi for a minimum of the function criterion with respect to its first argument using optimize. This function is not intended to be used directly.

Usage

iterchoiceS1cv(X, y, lambda, df, ddlmini, ntest, ntrain,
Kfold, type, npermut, seed, Kmin, Kmax, criterion, m,
fraction)

Value

Returns the optimum number of iterations (between Kmin and Kmax).

References

Cornillon, P. A., Hengartner, N. and Matzner-Lober, E. (2009) Recursive Bias Estimation for high dimensional regression smoothers. submitted.

See Also

ibr