molic: An R package for multivariate outlier detection in contingency tables
Mads Lindskou · The Journal of Open Source Software · 2019
Outlier detection is an important task in statistical analyses.An outlier is a case-specific unit since it may be interpreted as natural extreme noise in some applications, whereas in other applications it may be the most interesting observation.The molic package has been written to facilitate the novel outlier detection method in high-dimensional contingency tables (Lindskou, Eriksen, & Tvedebrink, 2019).In other words, the method works for data sets in which all variables are categorical, implying that they can only take on a finite set of values (also called levels).