lmrobdetMM fitThis function computes the RFPE for the MM-estimators obtained with lmrobdetMM by
recomputing it, successively removing each of a number of specified terms.
It is used internally by step.lmrobdetMM and not meant to be used
directly.
# S3 method for lmrobdetMM
drop1(object, scope, scale, keep, ...)the MM element (of class lmrob) in an object of class lmrobdetMM.
an optional formula giving the terms to be considered for dropping. Typically
this argument is omitted, in which case all possible terms are dropped (without breaking hierarchy
rules). The scope can also be a character vector of term labels. If the argument is supplied as a
formula, any . is interpreted relative to the formula implied by the object argument.
an optional residual scale estimate. If missing the residual
scale estimate in object is used.
a character vector of names of components that should be saved for each subset model.
Only names from the set "coefficients", "fitted" and "residuals"
are allowed. If keep == TRUE, the complete set is saved. The default behavior is
not to keep anything.
additional parameters to match generic method drop1
An anova object 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.