mmregeda
ObjectsAn object of class mmregeda.object
holds information about
the result of a call to fsreg
when method="MM"
and
monitoring=TRUE
.
The object itself is basically a list
with the following
components:
scalar, S estimate of the scale (or supplied external estimate of scale, if option InitialEst is not empty).
p x length(eff) matrix containing MM estimate of regression coefficients for each value of eff.
n x length(eff) matrix containing the monitoring
of scaled residuals for each value of eff
.
n x length(eff) matrix containing the estimates of the weights for each value of eff
Boolean matrix containing the list of the units declared as outliers for each value of eff using confidence level specified in input scalar conflev.
Confidence level which is used to declare units as outliers. Remark: conflev will be used to draw the horizontal line (confidence band) in the plot.
Number of subsets wihtout full rank. Notice that Notice that singsub > 0.1*(number of subsamples) produces a warning
string identifying the rho function which has been used.
vector which contains the additional parameters for the specified rho function which have been used. For hyperbolic rho function the value of k =sup CVC. For Hampel rho function the parameters a, b and c.
vector containing the value of eff which have been used.
the data matrix X
the response vector y
The object has class "mmregeda".
# NOT RUN {
(out <- fsreg(Y~., data=hbk, method="MM", monitoring=TRUE))
class(out)
summary(out)
# }
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