Package: msarima Title: Multi-Seasonal ARIMA Models Version: 0.1.0 Authors@R: c(person(given = "Daniele", family = "Girolimetto", role = c("aut", "cre", "cph"), email = "daniele.girolimetto@unipd.it", comment = c(ORCID = "0000-0001-9387-1232")), person(given = "Francesco", family = "Lisi", role = c("aut"), email = "francesco.lisi@unipd.it", comment = c(ORCID = "0000-0002-8749-8889")), person(given = "Matteo", family = "Grigoletto", role = c("aut"), email = "matteo.grigoletto@unipd.it", comment = c(ORCID = "0000-0001-9881-2039"))) Description: Fit, forecast and simulate autoregressive integrated moving average (ARIMA) models with more than one seasonal component, following Lisi and Grigoletto (2025) . Series observed at high frequency often display several seasonal cycles at once, such as the daily and the weekly pattern of hourly data, which a single seasonal ARIMA operator cannot represent. Estimation is performed by conditional maximum likelihood through numerical optimisation, with support for fixed coefficients and a constant term. Multi-seasonal Ljung-Box and Monti portmanteau tests, following Grigoletto and Lisi (2026) , seasonal correlograms, forecasts with prediction intervals, and simulation from a model specification or from a fitted model are also provided. License: GPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Depends: R (>= 4.1.0), forecast Imports: polynom, stats Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 URL: https://github.com/danigiro/msarima, https://danigiro.github.io/msarima/ BugReports: https://github.com/danigiro/msarima/issues LazyData: true Repository: https://danigiro.r-universe.dev Date/Publication: 2026-11-13 11:10:00 UTC RemoteUrl: https://github.com/danigiro/msarima RemoteRef: HEAD RemoteSha: 67dac27b64068abd1483c557c776f70fb40e35ef NeedsCompilation: no Packaged: 2026-11-13 15:17:06 UTC; root Author: Daniele Girolimetto [aut, cre, cph] (ORCID: ), Francesco Lisi [aut] (ORCID: ), Matteo Grigoletto [aut] (ORCID: ) Maintainer: Daniele Girolimetto