Package: alphaOutlier 1.2.2

Andre Rehage

alphaOutlier: Obtain Alpha-Outlier Regions for Well-Known Probability Distributions

Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, <doi:10.1080/01621459.1993.10476339> for details.

Authors:Andre Rehage [aut, cre], Sonja Kuhnt [aut]

alphaOutlier_1.2.2.tar.gz
alphaOutlier_1.2.2.tar.gz(r-4.7-any)alphaOutlier_1.2.2.tar.gz(r-4.6-any)
alphaOutlier_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
alphaOutlier/json (API)

# Install 'alphaOutlier' in R:
install.packages('alphaOutlier', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • citiesData - Population of the 999 largest German cities
  • daysabs - Number of absence days of students

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.34 score 22 scripts 577 downloads 17 exports 20 dependencies

Last updated from:98c5dd2015. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK152
linux-release-x86_64OK128
wasm-releaseOK136

Exports:aout.binomaout.cgaout.chisqaout.conttabaout.expaout.gandhaout.hyperaout.kernelaout.laplaceaout.logisaout.mvnormaout.nbinomaout.normaout.paretoaout.poisaout.weibullcreateDesMat

Dependencies:codetoolsdigestfuturefuture.applyglobalslatticelistenvMASSMatrixMatrixModelsnleqslvnumDerivparallellyquantregRcppRcppArmadilloRsolnpSparseMsurvivaltruncnorm