R: Multivariate Outlier Detection and Imputation for Incomplete Survey Data

# Multivariate Outlier Detection and Imputation for Incomplete Survey Data

## Documentation for package ‘modi’ version 0.1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

BEM | BACON-EEM Algorithm for multivariate outlier detection in incomplete multivariate survey data
bushfire | Bushfire scars.
bushfire.weights | Weights for Bushfire scars.
bushfirem | Bushfire scars with missing data.
EAdet | Epidemic Algorithm for detection of multivariate outliers in incomplete survey data
EAimp | Epidemic Algorithm for imputation of multivariate outliers in incomplete survey data.
ER | Robust EM-algorithm ER
GIMCD | Gaussian imputation followed by MCD
lival | Living Standards Measurement Survey Albania 2012
MDmiss | Mahalanobis distance (MD) for data with missing values
modi | modi: Multivariate outlier detection for incomplete survey data.
plotIT | Plot of infection times of the EA algorithm
PlotMD | QQ-Plot of Mahalanobis distances
POEM | Nearest Neighbour Imputation with Mahalanobis distance
sepe | Sample Environment Protection Expenditure Survey.
TRC | Transformed rank correlations for multivariate outlier detection
weighted.quantile | Quantiles of a weighted cdf
weighted.var | Weighted univariate variance coping with missing values
Winsimp | Winsorization followed by imputation