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molic (version 2.0.3)

Multivariate Outlier Detection in Contingency Tables

Description

Outlier detection in, possibly high-dimensional, categorical data following Mads Lindskou et al. (2019) .

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Install

install.packages('molic')

Monthly Downloads

28

Version

2.0.3

License

GPL-3

Issues

0

Pull Requests

0

Stars

6

Forks

6

Maintainer

Mads Lindskou

Last Published

June 2nd, 2021

Functions in molic (2.0.3)

fit_multiple_models

Fit Multiple Models
variance

Variance
to_chars

Convert discrete values into a single character representation
plot.multiple_models

Plot Deviance of Multiple Models
plot.outlier_model

Plot Distribution of Test Statistic
pval

P-value
print.outlier_model

Print outlier model
tgp_dat

A data frame with genetic data from the 1000 genomes project
tgp_haps

A named list of character vectors.
critval

Critical value
outliers

Detect Outliers
mean.outlier_model

Mean
derma

Dermatology Database
fit_outlier

Outlier detection
molic-package

molic: Multivariate Ouliterdetection In Contingency Tables
cdf

Empirical distribution function
fit_mixed_outlier

Mixed Outlier Test
deviance

Calculate deviance