# Multivariate Outlier Detection in Contingency Tables

## Documentation for package ‘molic’ version 2.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

molic-package | molic: Multivariate Ouliterdetection In Contingency Tables
cdf | Empirical distribution function
cdf.outlier_model | Empirical distribution function
critval | Critical value
critval.outlier_model | Critical value
derma | Dermatology Database
deviance | Calculate deviance
deviance.mixed_outlier | Calculate deviance
deviance.outlier_model | Calculate deviance
fit_mixed_outlier | Mixed Outlier Test
fit_multiple_models | Fit Multiple Models
fit_outlier | Outlier detection
mean.outlier_model | Mean
molic | molic: Multivariate Ouliterdetection In Contingency Tables
outliers | Detect Outliers
outliers.mixed_outlier | Detect Outliers
outliers.outlier | Detect Outliers
plot.multiple_models | Plot Deviance of Multiple Models
plot.outlier_model | Plot Distribution of Test Statistic
print.outlier_model | Print outlier model
pval | P-value
pval.outlier_model | P-value
tgp_dat | A data frame with genetic data from the 1000 genomes project
tgp_haps | A named list of character vectors.
to_single_chars | Convert discrete values into a single character representation
variance | Variance
variance.outlier_model | Variance