stranger: Simple Toolkit in R for ANomalies Get, Explain and Report

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

Downloads:

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-prerel: stranger_0.3.3.zip, r-release: stranger_0.3.3.zip, r-oldrel: stranger_0.3.3.zip
OS X binaries: r-prerel: stranger_0.3.3.tgz, r-release: stranger_0.3.3.tgz
Old sources: stranger archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stranger to link to this page.