Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>.
Version: | 2.0.7 |
Depends: | forecast (≥ 5.3), parallel, RColorBrewer, smooth (≥ 4.0.0) |
Published: | 2024-03-05 |
DOI: | 10.32614/CRAN.package.MAPA |
Author: | Nikolaos Kourentzes [aut, cre], Fotios Petropoulos [aut] |
Maintainer: | Nikolaos Kourentzes <nikolaos at kourentzes.com> |
BugReports: | https://github.com/trnnick/mapa/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://kourentzes.com/forecasting/2014/04/19/multiple-aggregation-prediction-algorithm-mapa/ |
NeedsCompilation: | no |
Citation: | MAPA citation info |
Materials: | README NEWS ChangeLog |
In views: | TimeSeries |
CRAN checks: | MAPA results |
Reference manual: | MAPA.pdf |
Package source: | MAPA_2.0.7.tar.gz |
Windows binaries: | r-devel: MAPA_2.0.7.zip, r-release: MAPA_2.0.7.zip, r-oldrel: MAPA_2.0.7.zip |
macOS binaries: | r-release (arm64): MAPA_2.0.7.tgz, r-oldrel (arm64): MAPA_2.0.7.tgz, r-release (x86_64): MAPA_2.0.7.tgz, r-oldrel (x86_64): MAPA_2.0.7.tgz |
Old sources: | MAPA archive |
Reverse imports: | tsintermittent, tsutils |
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