CovMve-class {rrcov} | R Documentation |
This class, derived from the virtual class "CovRobust"
accomodates
MVE Estimates of multivariate location and scatter computed by the
‘Fast MVE’ algorithm.
Objects can be created by calls of the form new("CovMve", ...)
,
but the usual way of creating CovMve
objects is a call to the function
CovMve
which serves as a constructor.
center
:"vector"
- the final estimate of the location vectorcov
:"matrix"
- the final estimate of the covariance matrixn.obs
:"numeric"
- number of observations used for the estimatesmah
:"Uvector"
- vector of distances computed
relative to the final estimates center
and cov
or NULLiter
:"numeric"
- number of iterations wt
:"vector"
- weights of the observations using the
final estimate of the location and scattercrit
:"numeric"
- the value of the objective function - i.e. the determinantcall
:"language"
- the call to CovMcd
method
:"character"
- method
used = "Minimum Volume Ellipsoid Estimator"
singularity
:NULL
if not singular)alpha
:"numeric"
- the size of the
subsets over which the volume of the ellipsoid is minimized (the default is (n+p+1)/2) quan
:"numeric"
- the number of
observations on which the MVE is based. If quan
equals
n.obs
, the MVE is the classical covariance matrix. best
:"Uvector"
- the best subset
found and used for computing the raw estimates. The size of best
is equal to quan
raw.cov
:"matrix"
the raw
(not reweighted) estimate of location raw.center
:"vector"
- the raw
(not reweighted) estimate of scatterraw.mah
:"Uvector"
- mahalanobis
distances of the observations based on the raw estimate of the
location and scatter raw.wt
:"Uvector"
- weights of
the observations based on the raw estimate of the location and scatter X
:"Umatrix"
- the data matrix or NULL
Class "CovRobust"
, directly.
Class "Cov"
, by class "CovRobust"
.
No methods defined with class "CovMve" in the signature.
Valentin Todorov valentin.todorov@chello.at
CovMve
, Cov-class
, CovRobust-class
showClass("CovMve")