Package: univOutl 0.5.0

Marcello DOrazio

univOutl: Detection of Univariate Outliers

Provides well-known techniques for detecting univariate outliers. Methods for handling skewed distributions are included. The Hidiroglou-Berthelot (1986) method for detecting outliers in ratios of historical data is also implemented. When available, survey weights can be incorporated in the detection process.

Authors:Marcello D'Orazio [aut, cre]

univOutl_0.5.0.tar.gz
univOutl_0.5.0.tar.gz(r-4.7-any)univOutl_0.5.0.tar.gz(r-4.6-any)
univOutl_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
univOutl/json (API)
NEWS

# Install 'univOutl' in R:
install.packages('univOutl', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/marcellodo/univoutl/issues

On CRAN:

Conda:

1.76 score 1 packages 19 scripts 465 downloads 6 exports 57 dependencies

Last updated from:284b3cb804. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK190
linux-release-x86_64OK129
wasm-releaseOK120

Exports:boxBHBmethodLocScaleBplot4ratiosratioSizeskew.misc

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tableDEoptimRdigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglifecyclemagrittrmemoisemimennetR6rappdirsRColorBrewerrlangrmarkdownrobustbaserpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml