Fit a periodic spline for each feature

Fit a periodic smoothing spline to the measurements for each feature as a function of the periodic variable.

Usage

zeitzeigerFit(x, time, nKnots = 3)

Arguments

x

Matrix of measurements, with observations in rows and features in columns. Missing values are allowed.

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.

nKnots

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

Value

xFitMean

Matrix of coefficients, where rows correspond to features and columns correspond to variables in the fit.

xFitResid

Vector of root mean square of residuals, same length as x.

See also

zeitzeigerSpc(), zeitzeigerPredict()