TrendLSW (version 1.0.6)

summary.TLSW: Summary of Output Provided by the TLSW Function

Description

Summary method for objects of class TLSW.

Usage

# S3 method for TLSW
summary(object, ...)

Value

No return value, called for side effects

Arguments

object

A TLSW object.

...

Other arguments.

Details

Prints out 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.

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.

See Also

TLSW, print.TLSW

Examples

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

spec <- matrix(0, nrow = 10, ncol = 2^10)

spec[1, ] <- seq(from = 1, to = 10, length = 1024)

trend <- sin(pi * (seq(from = 0, to = 4, length = 1024)))

set.seed(1)

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

x.TLSW <- TLSW(x)

summary(x.TLSW)