quantsmooth (version 1.38.0)

quantsmooth.cv: 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

Value

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

Details

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

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)