Function that, give time series data, transforms them into auto-covariances with different lags.

1 | ```
slAcf(x, max.lag = 10)
``` |

`x` |
a matrix. Each column contains a replicate series. |

`max.lag` |
How many lags to use. |

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.

Simon N. Wood, maintainer Matteo Fasiolo <matteo.fasiolo@gmail.com>.

1 2 3 4 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.