Calculate the expected value of each feature.

## Usage

predictIntensity(fitCoef, time, period = 1, knots = NULL)

## Arguments

fitCoef

Matrix of coefficients from the spline fits, where rows correspond to features and columns correspond to variables in the model.

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.

period

Period for the periodic variable.

knots

Optional vector of knots. This argument is designed for internal use.

## Value

Matrix of predicted measurements, where rows correspond to time-points and columns correspond to features.

zeitzeigerFit()