CovControlMMest | R Documentation |
This function will create a control object CovControlMMest
containing the control parameters for CovMMest
CovControlMMest(bdp = 0.5, eff=0.95, maxiter = 50, sest=CovControlSest(),
trace = FALSE, tolSolve = 1e-7)
bdp |
a numeric value specifying the required breakdown point. Allowed values are between 0.5 and 1 and the default is 0.5 |
eff |
a numeric value specifying the required efficiency
for the MM estimates. Default is |
sest |
an |
maxiter |
maximum number of iterations allowed in the computation of the MM-estimate. Defaults to 150. |
trace |
whether to print intermediate results. Default is |
tolSolve |
numeric tolerance to be used as a convergence tolerance for the MM-iteration. |
A CovControlSest
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("CovControlMMest", bdp=0.25)
ctrl2 <- CovControlMMest(bdp=0.25)
data(hbk)
CovMMest(hbk, control=ctrl1)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.