modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging,
weighted averaging, and stacking. These techniques are popular methods
to improve forecast accuracy and stability.
Version:
1.1.0
Imports:
tune (≥ 2.0.0),
rsample,
yardstick,
workflows (≥ 0.2.1),
recipes (≥ 0.1.15),
timetk (≥ 2.5.0),
tibble,
dplyr (≥
1.0.0),
tidyr,
purrr,
stringr,
rlang (≥ 0.1.2),
cli,
generics,
magrittr,
tictoc, parallel,
doParallel,
foreach,
glmnet
Published:
2025年09月04日
Author:
Matt Dancho [aut, cre],
Business Science [cph]
Maintainer:
Matt Dancho <mdancho at business-science.io>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
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