qper2 {qfa} | R Documentation |
Quantile Periodogram Type II (QPER2)
Description
This function computes type-II quantile periodogram for univariate time series.
Usage
qper2(y, freq, tau, weights = NULL, n.cores = 1, cl = NULL)
Arguments
y |
univariate time series |
freq |
sequence of frequencies in [0,1) |
tau |
sequence of quantile levels in (0,1) |
weights |
sequence of weights in quantile regression (default = |
n.cores |
number of cores for parallel computing (default = 1) |
cl |
pre-existing cluster for repeated parallel computing (default = |
Value
matrix of quantile periodogram evaluated on freq * tau
grid
Examples
y <- stats::arima.sim(list(order=c(1,0,0), ar=0.5), n=64)
tau <- seq(0.1,0.9,0.05)
n <- length(y)
ff <- c(0:(n-1))/n
sel.f <- which(ff > 0 & ff < 0.5)
y.qper2 <- qper2(y,ff,tau)
qfa.plot(ff[sel.f],tau,Re(y.qper2[sel.f,]))
[Package qfa version 2.1 Index]