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alphaOutlier (version 1.2.0)

Obtain Alpha-Outlier Regions for Well-Known Probability Distributions

Description

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, for details.

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Version

Install

install.packages('alphaOutlier')

Monthly Downloads

302

Version

1.2.0

License

GPL-3

Maintainer

Last Published

September 9th, 2016

Functions in alphaOutlier (1.2.0)

Find $\alpha$-outliers in conditional Gaussian data

Find $\alpha$-outliers in data from the family of $g$-and-$h$ distributions

Find $\alpha$-outliers in $\chi^2$ data

Find $\alpha$-outliers in two-way contingency tables

Find $\alpha$-outliers in hypergeometric data

Find $\alpha$-outliers in exponentially distributed data

Find $\alpha$-outliers in Binomial data

Find $\alpha$-outliers in logistic data

Find $\alpha$-outliers in Laplace / double exponential data

Find $\alpha$-outliers in negative Binomial data

Population of the 999 largest German cities

Find $\alpha$-outliers in normal data

Find $\alpha$-outliers in Weibull data

Find $\alpha$-outliers in arbitrary univariate data using kernel density estimation

Find $\alpha$-outliers in multivariate normal data

Create design matrix for log-linear models of contingency tables

Find $\alpha$-outliers in Pareto data

Find $\alpha$-outliers in Poisson count data

Number of absence days of students