CovControl-class

whether to print intermediate results. Default is <code>trace = FALSE</code>

trace

numeric tolerance to be used for inversion
 (<code><a rd-options="" href="/link/solve?package=rrcov&version=1.5-2" data-mini-rdoc="rrcov::solve">solve</a></code>) of the covariance matrix in
 <code><a rd-options="" href="/link/mahalanobis?package=rrcov&version=1.5-2" data-mini-rdoc="rrcov::mahalanobis">mahalanobis</a></code>.

tolSolve

The class "CovControl" is a VIRTUAL base control class
 for the derived classes representing the control parameters
 for the different robust methods

multivariate

robust

classes

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point:
principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>),
linear and quadratic discriminant analysis (Todorov and Pires (2007)),
multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>),
outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>,
Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

Valentin Todorov

rrcov

Scalable Robust Estimators with High Breakdown Point

CovControl-class function

A virtual Class: No objects may be created from it.

Objects from the Class

No methods defined with class "CovControl" in the signature.

Methods

numeric tolerance to be used for inversion
 (<code><a rd-options='' href='solve'>solve</a></code>) of the covariance matrix in
 <code><a rd-options='' href='mahalanobis'>mahalanobis</a></code>.

CovControl-class: Class "CovControl" is a VIRTUAL base control class

Description

Arguments

Objects from the Class

Methods

References