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: | 0.0.1.2 |
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: | 2020-07-12 |
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 |
Reference manual: | applicable.pdf |
Vignettes: |
binary-data continuous-data |
Package source: | applicable_0.0.1.2.tar.gz |
Windows binaries: | r-devel: applicable_0.0.1.2.zip, r-release: applicable_0.0.1.2.zip, r-oldrel: applicable_0.0.1.2.zip |
macOS binaries: | r-release: applicable_0.0.1.2.tgz, r-oldrel: applicable_0.0.1.2.tgz |
Old sources: | applicable archive |
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