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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: |
5.0.4 |
| 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: |
2024-07-26 |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.