molic: Multivariate Outlier Detection in Contingency Tables

Outlier detection in, possibly high-dimensional, categorical data following Mads Lindskou et al. (2019) <doi:10.1111/sjos.12407>.

Version: 2.0.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, doParallel, foreach, ggplot2, ggridges, ess
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, pander, dplyr, testthat, igraph
Published: 2020-06-16
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: molic results


Reference manual: molic.pdf
Vignettes: Detecting Skin Diseases
Outlier Detection in Genetic Data
The Outlier Model
Package source: molic_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: molic_2.0.1.tgz, r-oldrel: molic_2.0.1.tgz
Old sources: molic archive


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