Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Version: 5.1 Depends: Rcpp (≥ 1.0.3), R (≥ 3.5.0) Imports: ggplot2, gridExtra, tsibble, tsoutliers, stats, ggforce, utils, parallel LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Published: 2025-04-02 DOI: 10.32614/CRAN.package.UComp Author: Diego J. Pedregal [aut, cre] Maintainer: Diego J. Pedregal <Diego.Pedregal at uclm.es> License: GPL-3 NeedsCompilation: yes Materials: ChangeLog In views: TimeSeries CRAN checks: UComp results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=UComp to link to this page.
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