wave_variance: Generate a Wave Variance for a Univariate Time Series
In gmwm: Generalized Method of Wavelet Moments

Description Usage Arguments Value Examples

Computes an estimate of the wave variance

1	wave_variance(signal_modwt_bw, robust = FALSE, eff = 0.6)

`signal_modwt_bw`	A `field<vec>` that contains the brick walled modwt or dwt decomposition
`robust`	A `boolean` to determine the type of wave estimation.
`eff`	A `double` that indicates the efficiency.

A vec that contains the wave variance.

set.seed(1337)
x = rnorm(100)
decomp = modwt_cpp(x, filter_name = "haar", nlevels = 4, boundary = "periodic", brickwall = TRUE)
wave_variance(decomp)

wave_variance(decomp, robust = TRUE, eff = 0.6)