Package: fdaACF Type: Package Title: Autocorrelation Function for Functional Time Series Version: 1.0.0 Date: 2020-10-20 Author: Guillermo Mestre Marcos [aut, cre], José Portela González [aut], Gregory Rice [aut], Antonio Muñoz San Roque [ctb], Estrella Alonso Pérez [ctb] Maintainer: Guillermo Mestre Marcos Description: Quantify the serial correlation across lags of a given functional time series using the autocorrelation function and a partial autocorrelation function for functional time series proposed in Mestre et al. (2021) . The autocorrelation functions are based on the L2 norm of the lagged covariance operators of the series. Functions are available for estimating the distribution of the autocorrelation functions under the assumption of strong functional white noise. Imports: CompQuadForm, pracma, fda, vars NeedsCompilation: no URL: https://github.com/GMestreM/fdaACF BugReports: https://github.com/GMestreM/fdaACF/issues License: GPL (>= 2) Encoding: UTF-8 LazyData: true Depends: R (>= 3.5.0) Authors@R: c( person(given = "Guillermo", family = "Mestre Marcos", email = "guillermo.mestre@comillas.edu", role = c("aut", "cre")), person(given = "José", family = "Portela González", email = "Jose.Portela@iit.comillas.edu", role = "aut"), person(given = "Gregory", family = "Rice", email = "grice@uwaterloo.ca", role = "aut"), person(given = "Antonio", family = "Muñoz San Roque", email = "antonio.munoz@iit.comillas.edu", role = "ctb"), person(given = "Estrella", family = "Alonso Pérez", email = "ealonso@icai.comillas.edu", role = "ctb") ) RoxygenNote: 7.1.1 Suggests: testthat, fields Config/pak/sysreqs: make Repository: https://gmestrem.r-universe.dev Date/Publication: 2021-02-10 16:22:08 UTC RemoteUrl: https://github.com/gmestrem/fdaacf RemoteRef: HEAD RemoteSha: d660e57355e44c21cdf3d242d8ce1d97365838f9 Packaged: 2026-06-23 09:35:31 UTC; root