applicable: A Compilation of Applicability Domain Methods

A modeling package compiling applicability domain methods in R. It combines different methods to measure the amount of extrapolation new samples can have from the training set. See Gadaleta et al (2016) <doi:10.4018/IJQSPR.2016010102> for an overview of applicability domains.

Version: 0.1.0
Depends: ggplot2, R (≥ 3.4)
Imports: dplyr, glue, hardhat (≥ 0.1.2), Matrix, proxyC, purrr, rlang, stats, tibble, tidyr, tidyselect, utils
Suggests: covr, isotree, knitr, modeldata, recipes (≥ 0.1.7), rmarkdown, spelling, testthat (≥ 3.0.0), xml2
Published: 2022-08-20
Author: Marly Gotti [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Marly Gotti <marlygotti at gmail.com>
BugReports: https://github.com/tidymodels/applicable/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/applicable, https://applicable.tidymodels.org
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: applicable results

Documentation:

Reference manual: applicable.pdf
Vignettes: Applicability domain methods for binary data
Applicability domain methods for continuous data

Downloads:

Package source: applicable_0.1.0.tar.gz
Windows binaries: r-devel: applicable_0.1.0.zip, r-release: applicable_0.1.0.zip, r-oldrel: applicable_0.1.0.zip
macOS binaries: r-release (arm64): applicable_0.1.0.tgz, r-oldrel (arm64): applicable_0.1.0.tgz, r-release (x86_64): applicable_0.1.0.tgz
Old sources: applicable archive

Reverse dependencies:

Reverse imports: viraldomain
Reverse suggests: waywiser

Linking:

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