Package: UComp
Type: Package
Title: Automatic Univariate Time Series Modelling of many Kinds
Version: 5.1.4
Date: 2025-10-21
Author: Diego J. Pedregal [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4958-0969>)
Authors@R: c(person("Diego J.", "Pedregal", role = c("aut", "cre"),
                     email = "Diego.Pedregal@uclm.es",
                     comment = c(ORCID = "0000-0003-4958-0969")))
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, gridExtra, tsibble, tsoutliers, stats, ggforce,
        utils, parallel
LinkingTo: Rcpp, RcppArmadillo
Depends: Rcpp (>= 1.0.3), R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-10-22 11:03:49 UTC; diego.pedregal
Repository: CRAN
Date/Publication: 2025-10-22 23:30:08 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-22 23:51:24 UTC; windows
Archs: x64
