numeric parameter controlling the size of the subsets
over which the determinant is minimized, i.e., alpha*n
observations are used for computing the determinant. Allowed values
are between 0.5 and 1 and the default is 0.5.
nsamp
number of subsets used for initial estimates or "best",
"exact" or "deterministic". Default is nsamp = 500.
For nsamp="best" exhaustive enumeration is done, as long as the
scalefn
function to compute a robust scale
estimate or character string specifying a rule determining such a
function, see rrcov.control.
maxcsteps
maximal number of concentration steps in the
deterministic MCD; should not be reached.
seed
starting value for random generator. Default is seed = NULL
trace
whether to print intermediate results. Default is trace = FALSE
use.correction
whether to use finite sample correction factors.
Default is use.correction=TRUE
Value
A CovControlMcd object
References
Todorov V & Filzmoser P (2009),
An Object Oriented Framework for Robust Multivariate Analysis.
Journal of Statistical Software, 32(3), 1--47.
URL http://www.jstatsoft.org/v32/i03/.
## the following two statements are equivalent ctrl1 <- new("CovControlMcd", alpha=0.75)
ctrl2 <- CovControlMcd(alpha=0.75)
data(hbk)
CovMcd(hbk, control=ctrl1)