astsa (version 1.6)

SigExtract: Signal Extraction And Optimal Filtering

Description

Performs signal extraction and optimal filtering as discussed in Chapter 4.

Usage

SigExtract(series, L = c(3, 3), M = 50, max.freq = 0.05)

Arguments

series
univariate time series to be filtered

L
degree of smoothing (may be a vector); see spans in spec.pgram for more details

M
number of terms used in the lagged regression approximation

max.freq
truncation frequency, which must be larger than 1/M.

Value

Details

The basic function of the script, and the default setting, is to remove frequencies above 1/20 (and, in particular, the seasonal frequency of 1 cycle every 12 time points). The sampling frequency of the time series is set to unity prior to the analysis.

References

http://www.stat.pitt.edu/stoffer/tsa4/