harmNoisePred: Asymmetric variant of Chow method applied on harmonic...
In DODR: Detection of Differential Rhythmicity

A harmonic regression is done on the first set of time series (val1) pair. The differences of the second series to this fit are calculated. By comparison of these distances with the noise estimation of the first series, a decision is made whether the second series could be explained as additional samples of the first series.

1	harmNoisePred(val1, val2, times1, times2, period, norm = TRUE)

`val1`	matrix: data for values in first set. One column per sample, one row per time point
`val2`	matrix: data for values in second set. One column per sample, one row per time point
`times1`	vector: times of first set.
`times2`	vector: times of second set.
`period`	numeric: period of the oscillations. Same unit as the time points in times1 and times2
`norm`	boolean: whether to normalize the time series (division by mean), prior to the analysis.