ts.extend: Stationary Gaussian ARMA Processes and Other Time-Series Utilities

Stationary Gaussian ARMA processes and the stationary 'GARMA' distribution are fundamental in time series analysis. Here we give utilities to compute the auto-covariance/auto-correlation for a stationary Gaussian ARMA process, as well as the probability functions (density, cumulative distribution, random generation) for random vectors from this distribution. We also give functions for the spectral intensity, and the permutation-spectrum test for testing a time-series vector for the presence of a signal.

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Package details

AuthorBen O'Neill [aut, cre]
MaintainerBen O'Neill <ben.oneill@hotmail.com>
LicenseMIT + file LICENSE
URL https://github.com/ben-oneill/ts.extend
Package repositoryView on CRAN
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ts.extend documentation built on Nov. 15, 2020, 1:06 a.m.