View source: R/dependentData_Auxilliary_armaResid.R
bip_tau_resid_sc | R Documentation |
Computes the tau-estimate residual scale
bip_tau_resid_sc(x, beta_hat, p, q)
x |
: numeric vector. The signal |
beta_hat |
: ARMA parameter estimates |
p |
: AR order |
q |
: MA order |
scale : the tau estimate residual scale
filtered_signal : Filtered signal
In file dependentData_Auxiliary_armaResid
data("x_ao_mat") # 4.2918 res <- tau_scale(x_ao_mat) ## Example 2 data("PPG_Data") library(zeallot) ibi_ppg <- diff(PPG_Data$ppg.pos[1,]) x <- ibi_ppg[length(ibi_ppg):1] - median(ibi_ppg) beta_mat <- c(-0.6640 , -0.0815 , -0.2180 , -0.4591 , -0.0830 , 0.2936 , -0.0434 , 0.0190 , 0.0757 , -0.0938, -0.1758) bip_tau_resid_sc(x, beta_mat, 0, 11)
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