print.TLSW: Print an Object of Class `TLSW`

Description

Prints a TLSW object, alongside summary information. The first part prints details of the class, specifically the names of elements within. Then prints out the summary, which gives information about a TLSW object. If spectral estimation was performed, then the type of smoothing and binwidth is printed, along with the differencing performed if it is used, the maximum wavelet scale analysed, and whether or not boundary handling was used. If trend estimation is performed, then the type of wavelet thresholding and transform used is printed, as well as the maximum wavelet scale used, whether or not boundary handling was used, and the significance of the confidence interval if it was calculated.

Usage

# S3 method for TLSW
print(x, ...)

Value

No return value, called for side effects

Arguments

x: A TLSW object.
...: Other arguments.

References

McGonigle, E. T., Killick, R., and Nunes, M. (2022). Modelling time-varying first and second-order structure of time series via wavelets and differencing. Electronic Journal of Statistics, 6(2), 4398-4448.

McGonigle, E. T., Killick, R., and Nunes, M. (2022). Trend locally stationary wavelet processes. Journal of Time Series Analysis, 43(6), 895-917.

Examples

Run this code

# simulates an example time series and estimates its trend and evolutionary wavelet spectrum

spec <- wavethresh::cns(512)
spec <- wavethresh::putD(spec, level = 8, 1 + sin(seq(from = 0, to = 2 * pi, length = 512))^2)

trend <- seq(from = 0, to = 5, length = 512)

set.seed(1)

x <- TLSWsim(trend = trend, spec = spec)

x.TLSW <- TLSW(x)

print(x.TLSW)