Description Usage Arguments Value Author(s) Examples
Displays a plot of wavelet variances accounting for CI values.
Compute theroretical Wavelet Variance
1 2 3 4 |
model |
A |
tau |
A |
vector
of theoretical Wavelet Variance for a given model
vector
of theoretical Wavelet Variance for a given model
Stephane Guerrier, Nathanael Claussen, and Justin Lee
Stephane Guerrier, Nathanael Claussen, and Justin Lee
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | #' Xt = rnorm(n/4)
Yt = rnorm(n/2) + cumsum(rnorm(n/2, 0, 10^(-2)))
Zt = rnorm(n) + cumsum(rnorm(n, 0, 10^(-3)))
obj = make_mimu(Xt, Yt, Zt, freq = 100, unit = "s",
sensor.name = "MTiG - Gyro. X", exp.name = c("today", "yesterday", "a few days ago"))
model = AR1() + WN()
Extract the scales of first replicates of mimu object and compute tau
tau = mimu[[1]]$tau
wv_theo = function(model, tau)
#' Xt = rnorm(n/4)
Yt = rnorm(n/2) + cumsum(rnorm(n/2, 0, 10^(-2)))
Zt = rnorm(n) + cumsum(rnorm(n, 0, 10^(-3)))
obj = make_wvar_mimu_obj(Xt, Yt, Zt, freq = 100, unit = "s",
sensor.name = "MTiG - Gyro. X", exp.name = c("today", "yesterday", "a few days ago"))
model = AR1() + WN()
Extract the scales of first replicates of mimu object and compute tau
tau = 2^(1:length(sensor.name[[1]]$scales))
wv_theo = function(model, tau)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.