Fit a periodic spline for each feature on cross-validation

Fit a periodic spline for each feature for each fold of cross-validation.

Usage

zeitzeigerFitCv(x, time, foldid, nKnots = 3)

Arguments

x

Matrix of measurements, with observations in rows and features in columns.

time

Vector of values of the periodic variable for the observations, where 0 corresponds to the lowest possible value and 1 corresponds to the highest possible value.

foldid

Vector of values indicating the fold to which each observation belongs.

nKnots

Number of internal knots to use for the periodic smoothing spline.

Value

A list consisting of the result from zeitzeigerFit() for each fold.

See also

zeitzeigerFit(), zeitzeigerSpcCv(), zeitzeigerPredictCv()