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modeltime.resample: Resampling Tools for Time Series Forecasting

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.

Version: 0.2.3
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
Published: 2023-04-12
DOI: 10.32614/CRAN.package.modeltime.resample
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho at business-science.io>
BugReports: https://github.com/business-science/modeltime.resample/issues
License: MIT + file LICENSE
URL: https://github.com/business-science/modeltime.resample
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: modeltime.resample results

Documentation:

Reference manual: modeltime.resample.pdf
Vignettes: Getting Started with Modeltime Resample
Resampling Panel Data

Downloads:

Package source: modeltime.resample_0.2.3.tar.gz
Windows binaries: r-devel: modeltime.resample_0.2.3.zip, r-release: modeltime.resample_0.2.3.zip, r-oldrel: modeltime.resample_0.2.3.zip
macOS binaries: r-release (arm64): modeltime.resample_0.2.3.tgz, r-oldrel (arm64): modeltime.resample_0.2.3.tgz, r-release (x86_64): modeltime.resample_0.2.3.tgz, r-oldrel (x86_64): modeltime.resample_0.2.3.tgz
Old sources: modeltime.resample archive

Reverse dependencies:

Reverse depends: modeltime.ensemble

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modeltime.resample to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.