Package: univOutl 0.4

Marcello DOrazio

univOutl: Detection of Univariate Outliers

Well known outlier detection techniques in the univariate case. Methods to deal with skewed distribution are included too. The Hidiroglou-Berthelot (1986) method to search for outliers in ratios of historical data is implemented as well. When available, survey weights can be used in outliers detection.

Authors:Marcello D'Orazio

univOutl_0.4.tar.gz
univOutl_0.4.tar.gz(r-4.5-noble)univOutl_0.4.tar.gz(r-4.4-noble)
univOutl_0.4.tgz(r-4.4-emscripten)univOutl_0.4.tgz(r-4.3-emscripten)
univOutl.pdf |univOutl.html✨
univOutl/json (API)
NEWS

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

Peer review:

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

1.78 score 1 packages 20 scripts 251 downloads 6 exports 67 dependencies

Last updated 3 years agofrom:540278f190. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:boxBHBmethodLocScaleBplot4ratiosratioSizeskew.misc

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tableDEoptimRdigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrobustbaserpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml