Description Usage Arguments Details Value See Also Examples
drop1.lmRob
is used to investigate a robust Linear Model object by
recomputing it, successively omitting each of a number of specified terms.
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object |
an lmRob object. |
scope |
an optional |
scale |
a single numeric value containing a residual scale estimate. If missing, the scale estimate in |
keep |
a character vector of names of components that should be saved for each subset model. Only names from the set |
fast |
a logical value. If |
... |
additional arguments required by the generic drop1 function. |
This function is a method for the generic function drop1
for class "lmRob"
.
An anova
object is constructed, consisting of the term labels, the degrees of freedom, and Robust Final Prediction Errors (RFPE) for each subset model. If keep
is missing, the anova
object is returned. If keep
is present, a list with components "anova"
and "keep"
is returned. In this case, the "keep"
component is a matrix of mode "list"
, with a column for each subset model, and a row for each component kept.
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