DESCRIPTION

Package: modeltime.ensemble
Type: Package
Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Version: 1.0.4
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 (>= 0.2.1),
    R (>= 3.5)
Imports: 
    tune (>= 0.1.2),
    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: 7.3.1
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)