surveyoutliers: Helps Manage Outliers in Sample Surveys

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At present, the only functionality is the calculation of optimal one-sided winsorizing cutoffs. The main function is optimal.onesided.cutoff.bygroup. It calculates the optimal tuning parameter for one-sided winsorisation, and so calculates winsorised values for a variable of interest. See the help file for this function for more details and an example.

Author
Robert Clark
Date of publication
2016-01-25 08:55:18
Maintainer
"Robert Clark" <rclark@uow.edu.au>
License
GPL-2 | GPL-3
Version
0.1

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Man pages

optimal.onesided.cutoff
Optimal one-sided winsorization for survey outliers
optimal.onesided.cutoff.bygroup
Optimal one-sided winsorization for survey outliers by group
robust.lm.onesided
Robust Regression using One-Sided Huber Function
survdat.example
An example sample data file of 5000 respondents.

Files in this package

surveyoutliers
surveyoutliers/inst
surveyoutliers/inst/CITATION
surveyoutliers/inst/surveyoutliers.pdf
surveyoutliers/NAMESPACE
surveyoutliers/data
surveyoutliers/data/survdat.example.rdata
surveyoutliers/R
surveyoutliers/R/robust.lm.onesided.R
surveyoutliers/R/optimal.onesided.cutoff.bygroup.R
surveyoutliers/R/data.R
surveyoutliers/R/surveyoutliers.R
surveyoutliers/R/optimal.onesided.cutoff.R
surveyoutliers/MD5
surveyoutliers/DESCRIPTION
surveyoutliers/man
surveyoutliers/man/optimal.onesided.cutoff.Rd
surveyoutliers/man/optimal.onesided.cutoff.bygroup.Rd
surveyoutliers/man/robust.lm.onesided.Rd
surveyoutliers/man/survdat.example.Rd