ibr (version 1.4.5)

iterchoiceS1cv: Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon 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, s,
fraction)

Value

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

References

Cornillon, P.-A.; Hengartner, N.; Jegou, N. and Matzner-Lober, E. (2012) Iterative bias reduction: a comparative study. Statistics and Computing. Doi: 10.1007/s11222-012-9346-4

Cornillon, P.-A.; Hengartner, N. and Matzner-Lober, E. (2013) Recursive bias estimation for multivariate regression smoothers Recursive bias estimation for multivariate regression smoothers. ESAIM: Probability and Statistics. Doi: http://dx.doi.org/10.1051/ps/2013046

Duchon, J. (1977) Splines minimizing rotation-invariant semi-norms in Solobev spaces. in W. Shemp and K. Zeller (eds) Construction theory of functions of several variables, 85-100, Springer, Berlin.

See Also

ibr