UComp: Automatic Univariate Time Series Modelling of many Kinds

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: 5.0.2
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: 2024-07-07
DOI: 10.32614/CRAN.package.UComp
Author: Diego J. Pedregal ORCID iD [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


Reference manual: UComp.pdf


Package source: UComp_5.0.2.tar.gz
Windows binaries: r-devel: UComp_5.0.2.zip, r-release: UComp_5.0.2.zip, r-oldrel: UComp_5.0.2.zip
macOS binaries: r-release (arm64): UComp_5.0.2.tgz, r-oldrel (arm64): UComp_5.0.2.tgz, r-release (x86_64): UComp_5.0.2.tgz, r-oldrel (x86_64): UComp_5.0.2.tgz
Old sources: UComp archive


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