Package: modeltime.resample
Title: Resampling Tools for Time Series Forecasting
Version: 0.2.2
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 forecast resampling tools
    that assess time-based model performance and stability for a single time series, 
    panel data, and cross-sectional time series analysis. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/business-science/modeltime.resample
BugReports: https://github.com/business-science/modeltime.resample/issues
Depends: modeltime (>= 0.3.0), R (>= 3.5)
Imports: tune, rsample, workflows, parsnip (>= 0.1.4), recipes, dials,
        yardstick, timetk (>= 2.5.0), tibble, dplyr, tidyr, purrr,
        forcats, glue, stringr, ggplot2, plotly, cli, crayon, magrittr,
        rlang (>= 0.1.2), progressr, tictoc, hardhat
Suggests: roxygen2, testthat, tidymodels, tidyverse, tidyquant, glmnet,
        lubridate, knitr, rmarkdown, covr, remotes
RoxygenNote: 7.2.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-18 00:28:20 UTC; mdancho
Author: Matt Dancho [aut, cre],
  Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2022-10-18 03:00:06 UTC
Built: R 4.2.0; ; 2022-10-18 12:57:28 UTC; unix
