qper {qfa} | R Documentation |
Quantile Periodogram and Cross-Periodogram (QPER)
Description
This function computes quantile periodogram/cross-periodogram (QPER) from time series or quantile discrete Fourier transform (QDFT).
Usage
qper(y, tau, y.qdft = NULL, n.cores = 1, cl = NULL)
Arguments
y |
vector or matrix of time series (if matrix, |
tau |
sequence of quantile levels in (0,1) |
y.qdft |
matrix or array of pre-calculated QDFT (default = |
n.cores |
number of cores for parallel computing of QDFT if |
cl |
pre-existing cluster for repeated parallel computing of QDFT (default = |
Value
matrix or array of quantile periodogram/cross-periodogram
Examples
y <- stats::arima.sim(list(order=c(1,0,0), ar=0.5), n=64)
tau <- seq(0.1,0.9,0.05)
# compute from time series
y.qper <- qper(y,tau)
# compute from QDFT
y.qdft <- qdft(y,tau)
y.qper <- qper(y.qdft=y.qdft)
[Package qfa version 2.1 Index]