modi: Multivariate outlier detection and imputation for incomplete survey data

Algorithms for multivariate outlier detection when missing values occur. Algorithms are based on Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses nearest neighbour donors. The algorithms take sample designs, in particular weighting, into account.

Author
Beat Hulliger
Date of publication
2016-09-27 20:10:38
Maintainer
Beat Hulliger <beat.hulliger@fhnw.ch>
License
GPL-2
Version
1.6

View on R-Forge

Man pages

BEM
BACON-EEM Algorithm for multivariate outlier detection in...
bushfire
Bushfire scars
EAdet
Epidemic Algorithm for detection of multivariate outliers in...
EAimp
Epidemic Algorithm for imputation of multivariate outliers in...
ER
Robust EM-algorithm ER
GIMCD
Gaussian imputation followed by MCD
MDmiss
Mahalanobis distance (MD) for data with missing values.
modi-internal
Internal Functions of modi-package
modi-package
Multivariate outlier detection for incomplete survey data
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...
weighted.quantile
Quantiles of a weighted cdf
weighted.var
Weighted univariate variance coping with missing values
winsimp
Winsorization followed by imputation

Files in this package

modi/DESCRIPTION
modi/NAMESPACE
modi/R
modi/R/BEM.R
modi/R/EAdet.R
modi/R/EAimp.R
modi/R/ER.R
modi/R/GIMCD.R
modi/R/MDmiss.R
modi/R/POEM.R
modi/R/TRC.R
modi/R/modi-internal.R
modi/R/plotMD.R
modi/R/weighted.quantile.R
modi/R/weighted.var.R
modi/R/winsimp.R
modi/data
modi/data/bushfire.RData
modi/data/bushfire.weights.RData
modi/data/bushfirem.RData
modi/data/sepe.RData
modi/man
modi/man/BEM.Rd
modi/man/EAdet.Rd
modi/man/EAimp.Rd
modi/man/ER.Rd
modi/man/GIMCD.Rd
modi/man/MDmiss.Rd
modi/man/POEM.Rd
modi/man/TRC.Rd
modi/man/bushfire.Rd
modi/man/modi-internal.Rd
modi/man/modi-package.Rd
modi/man/plotMD.Rd
modi/man/sepe.Rd
modi/man/weighted.quantile.Rd
modi/man/weighted.var.Rd
modi/man/winsimp.Rd