The default summary method for a nsCosinor object produced by nscosinor.
# S3 method for nsCosinor
summary(object, ...)
# S3 method for summary.nsCosinor
print(x, ...)a nsCosinor object produced by nscosinor.
a summary.nsCosinor object produced by
summary.nsCosinor.
further arguments passed to or from other methods.
vector of cycles in units of time, e.g., for a six and twelve month pattern cycles=c(6,12).
total number of MCMC samples.
number of MCMC samples discarded as a burn-in.
vector of smoothing parameters, tau[1] for trend, tau[2] for 1st seasonal parameter, tau[3] for 2nd seasonal parameter, etc.
summary statistics (mean and confidence interval) for the residual standard deviation, the standard deviation for each seasonal cycle, and the amplitude and phase for each cycle.
The amplitude describes the average height of each seasonal
cycle, and the phase describes the location of the peak. The results
for the phase are given in radians (0 to 2\(\pi\)), they can be
transformed to the time scale using the invyrfraction making
sure to first divide by 2\(\pi\).
The larger the standard deviation for the seasonal cycles, the greater the non-stationarity. This is because a larger standard deviation means more change over time.
nscosinor, plot.nsCosinor