Framework for unsupervised anomalies detection that simplifies the user experience because the one does not need to be concerned with the many packages and functions that are required. Package 'stranger' acts as a wrapper around existing packages ("a la 'caret' for modeling") and provides a clean and uniform toolkit for evaluation/explain/reporting purposes.
Version: | 0.3.3 |
Depends: | R (≥ 2.10), data.table, dplyr (≥ 0.7.3) |
Imports: | assertthat (≥ 0.2) , ggplot2, tidyr, grid, methods |
Suggests: | knitr, rmarkdown, prettydoc, dtplyr, testthat, FNN, dbscan, autoencoder, rpart, ranger, abodOutlier, mvoutlier, randomForest |
Published: | 2018-03-12 |
Author: | Eric Lecoutre [aut, cre], Sven Wauters [aut] |
Maintainer: | Eric Lecoutre <eric.lecoutre at welovedatascience.com> |
License: | GPL-2 |
URL: | https://welovedatascience.github.io/stranger, https://github.com/welovedatascience/stranger |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | stranger results |
Reference manual: | stranger.pdf |
Vignettes: |
stranger for the impatient stranger weirds methods stranger for the impatient |
Package source: | stranger_0.3.3.tar.gz |
Windows binaries: | r-devel: stranger_0.3.3.zip, r-release: stranger_0.3.3.zip, r-oldrel: stranger_0.3.3.zip |
OS X binaries: | r-release: stranger_0.3.3.tgz, r-oldrel: stranger_0.3.3.tgz |
Old sources: | stranger archive |
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