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 Netzeva et al (2005) <doi:10.1177/026119290503300209> for an overview of applicability domains.

Version: 0.0.1.1
Depends: R (≥ 3.3), ggplot2
Imports: hardhat (≥ 0.1.2), rlang, stats, glue, tibble, proxyC, Matrix, dplyr, utils, purrr, tidyselect, tidyr
Suggests: recipes (≥ 0.1.7), testthat (≥ 2.1.0), knitr, rmarkdown, covr, AmesHousing, spelling, xml2, modeldata
Published: 2020-06-15
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

Downloads:

Reference manual: applicable.pdf
Vignettes: binary-data
continuous-data
Package source: applicable_0.0.1.1.tar.gz
Windows binaries: r-devel: applicable_0.0.1.1.zip, r-release: applicable_0.0.1.1.zip, r-oldrel: applicable_0.0.1.1.zip
macOS binaries: r-release: applicable_0.0.1.1.tgz, r-oldrel: applicable_0.0.1.1.tgz
Old sources: applicable archive

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