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GSE (version 4.2-1)
Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data
Description
Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.
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Version
Version
4.2-1
4.2
4.1
4.0
3.3.1
3.3
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Install
install.packages('GSE')
Monthly Downloads
543
Version
4.2-1
License
GPL (>= 2)
Maintainer
Claudio Agostinelli
Last Published
December 13th, 2022
Functions in GSE (4.2-1)
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CovEM
Gaussian MLE of mean and covariance
HuberPairwise
Quadrant Covariance and Huberized Pairwise Scatter
ImpS
Imputed S-estimator
GSE
Generalized S-Estimator in the presence of missing data
CovRobMiss-class
Class "CovRobMiss" -- a superclass for the robust estimates of location and scatter for missing data
CovRobMissSc-class
Class "CovRobMissSc" -- a subclass of "CovRobMiss" with scale estimate
GSE-class
Generalized S-Estimator in the presence of missing data
HuberPairwise-class
Quadrant Covariance and Huberized Pairwise Scatter
SummaryCovGSE-class
Class "SummaryCovGSE" - displaying summary of "CovRobMiss" objects
TSGS-class
Two-Step Generalized S-Estimator for cell- and case-wise outliers
geochem
Geochemical Data
emve
Extended Minimum Volume Ellipsoid (EMVE) in the presence of missing data
boston
Boston Housing Data
emve-class
Extended Minimum Volume Ellipsoid (EMVE) in the presence of missing data.
simulation-tools
Data generator for simulation study on cell- and case-wise contamination
slrt
LRT-based distances between matrices
calcium
Calcium data
gy.filt
Gervini-Yohai filter for detecting cellwise outliers
partial.mahalanobis
Partial Square Mahalanobis Distance
get-methods
Accessor methods to the essential slots of classes CovRobMiss, TSGS, GSE, emve, and HuberPairwise
plot-methods
Plot methods for objects of class 'CovRobMiss'
TSGS
Two-Step Generalized S-Estimator for cell- and case-wise outliers
auto
Automobile data
wages
Wages and Hours
horse
Horse-colic data