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.

zeitzeigerFit(), zeitzeigerSpcCv(), zeitzeigerPredictCv()