CovControlOgk-class | R Documentation |
This class extends the CovControl
class
and contains the control parameters for "CovOgk"
Objects can be created by calls of the form new("CovControlOgk", ...)
or by calling the constructor-function CovControlOgk
.
number of iterations, usually 1 or 2 since iterations beyond the second do not lead to improvement.
coverage parameter for the final reweighted estimate
function for computing the robust univariate location
and dispersion - defaults to the tau scale
defined in
Yohai and Zamar (1998)
function for computing robust estimate of covariance between two random vectors - defaults the one proposed by Gnanadesikan and Kettenring (1972)
A string indicating the name of the function for computing
the robust univariate location and dispersion - defaults to scaleTau2
-
the scale 'tau' function defined in Yohai and Zamar (1998)
A string indicating the name of the function for computing
robust estimate of covariance between two random vectors -
defaults to gk
, the one proposed by Gnanadesikan and Kettenring (1972).
trace
, tolSolve
:from the
"CovControl"
class.
Class "CovControl"
, directly.
signature(obj = "CovControlOgk")
: the generic
function restimate
allowes the different methods for robust estimation to be
used polymorphically - this function will call CovOgk
passing it the control
object and will return the obtained CovRobust
object
Valentin Todorov valentin.todorov@chello.at
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v032.i03")}.
## the following two statements are equivalent
ctrl1 <- new("CovControlOgk", beta=0.95)
ctrl2 <- CovControlOgk(beta=0.95)
data(hbk)
CovOgk(hbk, control=ctrl1)
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