isSingular

isSingular-methods

isSingular,ANY-method

isSingular,Cov-method

Returns TRUE if the covariance matrix contained in a <code>Cov-class</code> object (or derived from) is singular.

multivariate

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) <urn:isbn: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

isSingular-methods function

<dl> <dt>obj</dt>
<dd>an object of class (derived from) <code>"Cov"</code>.</dd></dl>

Arguments

<dl> <dt>isSingular</dt>
<dd><code>signature(x = Cov)</code>: Check if a covariance matrix 
 (object of class <code>Cov-class</code>) is singular.</dd>
</dl>

Methods

Check if a covariance matrix (object of class 'Cov') is singular — isSingular-methods

<dl>

 <dt>obj</dt>
<dd>an object of class (derived from) <code>"Cov"</code>.</dd>

</dl>

<dl>

 <dt>isSingular</dt>
<dd><code>signature(x = Cov)</code>: Check if a covariance matrix 
 (object of class <code>Cov-class</code>) is singular.</dd>


</dl>

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isSingular-methods: Check if a covariance matrix (object of class 'Cov') is singular

Description

Usage

Arguments

Methods

See Also

Examples