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: 0.1.0
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
Suggests: roxygen2, testthat, tidymodels, tidyverse, tidyquant, glmnet, lubridate, knitr, rmarkdown, covr, remotes
Published: 2020-11-05
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
CRAN checks: modeltime.resample results

Downloads:

Reference manual: modeltime.resample.pdf
Vignettes: Getting Started with Modeltime Resample
Resampling Panel Data
Package source: modeltime.resample_0.1.0.tar.gz
Windows binaries: r-devel: modeltime.resample_0.1.0.zip, r-release: modeltime.resample_0.1.0.zip, r-oldrel: modeltime.resample_0.1.0.zip
macOS binaries: r-release: modeltime.resample_0.1.0.tgz, r-oldrel: modeltime.resample_0.1.0.tgz

Reverse dependencies:

Reverse depends: modeltime.ensemble
Reverse imports: healthyR.ts

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