Package: modeltime.ensemble
Type: Package
Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Version: 1.1.0
Authors@R: c(
    person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
    person("Business Science", role = "cph")
    )
Description: 
    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. 
URL: https://business-science.github.io/modeltime.ensemble/,
        https://github.com/business-science/modeltime.ensemble
BugReports: https://github.com/business-science/modeltime.ensemble/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: modeltime (>= 1.2.3), modeltime.resample (>= 0.3.0), R (>=
        3.5)
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
Suggests: gt, dials, utils, earth, testthat, tidymodels, xgboost,
        lubridate, knitr, rmarkdown
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-03 16:22:25 UTC; mdancho
Author: Matt Dancho [aut, cre],
  Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2025-09-04 08:20:02 UTC
Built: R 4.6.0; ; 2025-10-11 04:17:10 UTC; windows
