Title: Draws Overview of Outliers (O3) Plot
Description: Potential outliers are identified for all combinations of a dataset's variables. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise'.
Imports: stats, utils, grDevices, rlist, ggplot2, dplyr, tidyr,
forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise,
Suggests: knitr, gridExtra, rmarkdown, mbgraphic
Packaged: 2017-09-26 09:04:51 UTC; antonyunwin2

Title: Draws Overview of Outliers (O3) Plots
Description: Potential outliers are identified for all combinations of a dataset's variables. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.
Suggests: knitr, gridExtra, rmarkdown, mbgraphic, languageR
Packaged: 2018-02-05 12:37:06 UTC; antonyunwin2

Packaged: 2018-02-06 09:36:02 UTC; antonyunwin2

Packaged: 2018-02-08 09:28:31 UTC; antonyunwin2

forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise (>=
Packaged: 2019-02-27 10:28:45 UTC; antonyunwin2

Description: Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) <doi:10.1080/10618600.2019.1575226>. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.
Suggests: knitr, gridExtra, rmarkdown, languageR
Packaged: 2019-03-23 17:13:40 UTC; antonyunwin2

Packaged: 2020-04-24 15:01:55 UTC; antonyunwin2

Packaged: 2019-01-18 16:25:37 UTC; antonyunwin2

Title: Functions for Solving Multiple-criteria Decision-making Problems
Author: Michel Prombo <michel.prombo@statec.etat.lu> or <michel.prombo@gmail.com>
Description: Functions to process ''outranking'' ELECTRE methods existing in the literature. See, e.g.,
<http://en.wikipedia.org/wiki/ELECTRE> about the outranking approach and the foundations of ELECTRE methods.