dlcca {fractalRegression} | R Documentation |
Multiscale Lagged Regression Anlaysis Fast function for computing MLRA on long time series
Description
Multiscale Lagged Regression Anlaysis Fast function for computing MLRA on long time series
Usage
dlcca(x, y, order, scales, lags, direction)
Arguments
x |
is a real valued vector of time series data |
y |
is a real valued vector of time series data |
order |
is an integer indicating the polynomial order used for detrending the local windows |
scales |
integer vector of scales over which to compute correlation. Performance is best when scales are evenly spaced in log units. Choosing a logarithm base between 1 and 2 may also improve performance of regression. |
lags |
integer indicating the maximum number of lags to include |
direction |
string indicating a positive ('p') or negative ('n') lag |
Value
The object returned from the dlcca() function is a list containing rho coefficients for each lag at each of the scales.
[Package fractalRegression version 1.2 Index]