Selects the bandwidth of a local polynomial kernel (regression or
variance) estimator using (standard or modified) CV, GCV or MASE criteria.
See npsp::h.cv for details.
# S3 method for npf.bin
h.cv(bin, var, cor, ...)
# S3 method for npf.bin.res2
h.cv(bin, var, cor, ...)object used to select a method (binned data).
(optional) a vector or an object of class npf.var with the estimated (or
theoretical) variances.
(optional) intra-curve correlation matrix or semivariogram model
(svarmod-class) of the data. Defaults to the identity matrix.
further arguments passed to npsp::h.cv.