univOutl-package: Detection of Univariate Outliers.

univOutl-packageR Documentation

Detection of Univariate Outliers.

Description

Well known outlier detection techniques in the univariate case. Ratios of two variables are covered too. When available, survey weights can be considered.

Details

The package provides few simple functions implementing well known outlier detection techniques in the univariate case. Methods to deal with skewed distributions are included. The Hidiroglou-Berthelot (1986) method to search for outliers in ratios of historical data is implemented as well. When available, the survey weights can be used in outliers' detection.

Author(s)

Author and Maintainer: Marcello D'Orazio mdo.statmatch@gmail.com

References

Hidiroglou, M.A. and Berthelot, J.-M. (1986) ‘Statistical editing and Imputation for Periodic Business Surveys’. Survey Methodology, Vol 12, pp. 73-83.

McGill, R., Tukey, J. W. and Larsen, W. A. (1978) ‘Variations of box plots’. The American Statistician, 32, pp. 12-16.

Rousseeuw, P.J. and Croux, C. (1993) ‘Alternatives to the Median Absolute Deviation’, Journal of the American Statistical Association 88, pp. 1273-1283.

Hubert, M., and Vandervieren, E. (2008) ‘An Adjusted Boxplot for Skewed Distributions’, Computational Statistics & Data Analysis, 52, pp. 5186-5201


univOutl documentation built on May 31, 2022, 9:06 a.m.