quantsmooth.cv {quantsmooth}R Documentation

quantsmooth.cv

Description

Cross validation of smoothing parameters

Usage

  quantsmooth.cv(intensities,smooth.lambda=2, ridge.kappa=0)

Arguments

intensities numeric vector
smooth.lambda numeric; see quantsmooth
ridge.kappa fudge parameter; see quantsmooth

Details

Cross validation is performed by calculating the fit from the even indices on the odd indices and vice versa.

Value

This function returns the sum of squared differences or NA if the fitting function gave an error

Author(s)

Jan Oosting

See Also

getLambdaMin

Examples

        data(chr14)
        # A low value is indicative of a better fit to the data
        quantsmooth.cv(bac.cn[,1],1)
        quantsmooth.cv(bac.cn[,1],2.8)

[Package quantsmooth version 1.8.0 Index]