# Fit a periodic spline for each feature on cross-validation

Source:`R/zeitzeiger_cv.R`

`zeitzeigerFitCv.Rd`

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

## 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.