eemdARIMA

EEMD Based Auto Regressive Integrated Moving Average Model

v0.1.0 · Jan 25, 2022 · GPL-3

Description

Forecasting time series with different decomposition based ARIMA models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>.

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	73.5s
r-devel-linux-x86_64-debian-gcc	OK	53.2s
r-devel-linux-x86_64-fedora-clang	OK	110.5s
r-devel-linux-x86_64-fedora-gcc	OK	114.6s
r-devel-macos-arm64	OK	20s
r-devel-windows-x86_64	OK	91s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	44s
r-oldrel-windows-x86_64	OK	109s
r-patched-linux-x86_64	OK	66.4s
r-release-linux-x86_64	OK	65s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	63s
r-release-windows-x86_64	OK	88s

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

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new 0.1.0 Mar 10, 2026