Depends: modeltime (>= 0.3.0), modeltime.resample (>= 0.1.0), R (>=
timetk (>= 2.5.0), tibble, dplyr (>= 1.0.0), tidyr, purrr,
glue, stringr, rlang (>= 0.1.2), cli, crayon, utils, generics,
Suggests: roxygen2, testthat, tidymodels, xgboost, tidyverse,
lubridate, knitr, rmarkdown, covr, remotes

Depends: modeltime (>= 0.5.1), modeltime.resample (>= 0.1.0), R (>=
Imports: tune (>= 0.1.2), rsample, yardstick, workflows (>= 0.2.1),
parsnip (>= 0.1.4), recipes (>= 0.1.15), dials, timetk (>=
2.5.0), tibble, dplyr (>= 1.0.0), tidyr, purrr, glue, stringr,
Suggests: roxygen2, earth, testthat, tidymodels, xgboost, tidyverse,

Depends: modeltime (>= 0.6.0), modeltime.resample (>= 0.2.0), R (>=
parsnip (>= 0.1.6), recipes (>= 0.1.15), dials, timetk (>=
lubridate, knitr, rmarkdown, covr, qpdf, remotes

Depends: modeltime (>= 0.7.0), modeltime.resample (>= 0.2.0), R (>=
tibble, dplyr (>= 1.0.0), tidyr, purrr, glue, stringr, rlang
(>= 0.1.2), cli, generics, magrittr, tictoc
Suggests: crayon, dials, glmnet, progressr, utils, roxygen2, earth,
testthat, tidymodels, xgboost, tidyverse, lubridate, knitr,

Depends: modeltime (>= 1.1.0), modeltime.resample (>= 0.2.0), R (>=
(>= 0.1.2), cli, generics, magrittr, tictoc, parallel,
Suggests: gt, crayon, dials, glmnet, progressr, utils, roxygen2, earth,

Depends: modeltime (>= 1.2.2), modeltime.resample (>= 0.2.1), R (>=

Depends: modeltime (>= 1.2.3), modeltime.resample (>= 0.2.1), R (>=

Use the 'GluonTS' deep learning library inside of 'modeltime'.
Available models include 'DeepAR', 'N-BEATS', and 'N-BEATS' Ensemble.
Refer to "GluonTS - Probabilistic Time Series Modeling"
Imports: parsnip, timetk, magrittr, rlang (>= 0.1.2), reticulate,
tibble, forcats, dplyr, tidyr, purrr, stringr, glue, fs
Suggests: tidyverse, tidymodels, knitr, rmarkdown, roxygen2, testthat

Use the 'H2O' machine learning library inside of 'modeltime'.
Available models include 'AutoML' for Automatic Machine Learning.
Please see H2O.ai for more information <https://github.com/h2oai/h2o-3>.
Imports: magrittr, rlang (>= 0.1.2), tibble, timetk (>= 2.6.0), dplyr,
parsnip (>= 0.1.4), purrr, tidyr, stringr, stats, glue, fs
Suggests: tidymodels, workflows, tidyverse, knitr, rmarkdown, roxygen2,