workboots: Generate Bootstrap Prediction Intervals from a 'tidymodels' Workflow

Provides functions for generating bootstrap prediction intervals from a 'tidymodels' workflow. 'tidymodels' <https://www.tidymodels.org/> is a collection of packages for modeling and machine learning using 'tidyverse' <https://www.tidyverse.org/> principles. This package is not affiliated with or maintained by 'RStudio' or the 'tidymodels' maintainers.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: assertthat, dplyr, generics, Metrics, purrr, rlang, rsample, stats, tibble, tidyr, vip, workflows
Suggests: covr, ggplot2, knitr, readr, recipes, rmarkdown, testthat (≥ 3.0.0), tidymodels, tune, xgboost
Published: 2022-04-11
Author: Mark Rieke [aut, cre]
Maintainer: Mark Rieke <markjrieke at gmail.com>
BugReports: https://github.com/markjrieke/workboots/issues
License: MIT + file LICENSE
URL: https://github.com/markjrieke/workboots
NeedsCompilation: no
Materials: README NEWS
CRAN checks: workboots results

Documentation:

Reference manual: workboots.pdf
Vignettes: Estimating-a-Linear-Prediction-Interval
Getting Started

Downloads:

Package source: workboots_0.1.1.tar.gz
Windows binaries: r-devel: workboots_0.1.1.zip, r-release: workboots_0.1.1.zip, r-oldrel: workboots_0.1.1.zip
macOS binaries: r-release (arm64): workboots_0.1.1.tgz, r-oldrel (arm64): workboots_0.1.1.tgz, r-release (x86_64): workboots_0.1.1.tgz, r-oldrel (x86_64): workboots_0.1.1.tgz
Old sources: workboots archive

Linking:

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