nscosinor.initial-internal: Initial values for non-stationary cosinor. For internal use...
In season: Seasonal analysis of health data

Creates initial values for the non-stationary cosinor decomposition nscosinor.

1	nscosinor.initial(data, response, tau, lambda=1/12, n.season)

`data`	a data frame.
`response`	response variable.
`tau`	vector of smoothing parameters, tau[1] for trend, tau[2] for 1st seasonal parameter, tau[3] for 2nd seasonal parameter, etc. Larger values of tau allow more change between observations and hence a greater potential flexibility in the trend and season.
`lambda`	distance between observations (lambda=1/12 for monthly data, default).
`n.season`	number of seasons.