slAcf: Estimate auto-covariances for multiple datasets.
Description
Function that, give time series data, transforms them into auto-covariances with different lags.
Usage
slAcf(x, max.lag = 10)
Value
a matrix where each column contains the coefficients for a different replicate. The first coefficient
corresponds to lag == 0, hence it is the variance, the second is the covariance one step ahead and so
on.
Arguments
x
a matrix. Each column contains a replicate series.
max.lag
How many lags to use.
Author
Simon N. Wood, maintainer Matteo Fasiolo <matteo.fasiolo@gmail.com>.