Fit a periodic spline for each feature on cross-validationSource:
Fit a periodic spline for each feature for each fold of cross-validation.
Matrix of measurements, with observations in rows and features in columns.
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.
Vector of values indicating the fold to which each observation belongs.
Number of internal knots to use for the periodic smoothing spline.
A list consisting of the result from
zeitzeigerFit() for each fold.