Package: modeltime.resample
Title: Resampling Tools for Time Series Forecasting
Version: 0.3.0.9000
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://business-science.github.io/modeltime.resample/,
        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 (>= 2.0.0), rsample, workflows, recipes, yardstick,
        timetk (>= 2.5.0), tibble, dplyr (>= 1.0.0), tidyr, purrr,
        stringr, ggplot2 (>= 3.4.0), plotly, cli, magrittr, rlang (>=
        0.1.2), progressr, tictoc, hardhat, withr
Suggests: testthat, tidymodels, tidyquant, glmnet, lubridate, knitr,
        rmarkdown
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev
        libssl-dev libnode-dev libx11-dev
Repository: https://business-science.r-universe.dev
Date/Publication: 2025-09-03 21:46:48 UTC
RemoteUrl: https://github.com/business-science/modeltime.resample
RemoteRef: HEAD
RemoteSha: 27637d4a40b98c4b6a084b96e2e5a294e89e51de
NeedsCompilation: no
Packaged: 2026-06-10 06:48:53 UTC; root
Author: Matt Dancho [aut, cre],
  Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>