pred.rpart(fit, x)
itree.anova(y, offset, parms, wt)
itree.class(y, offset, parms, wt)
itree.matrix(frame)
itree.class_purity(y, offset, parms, wt)
itree.class_extremes(y, offset, parms, wt)
itree.regression_purity(y, offset, parms, wt)
itree.regression_extremes(y, offset, parms, wt)
itree
.NULL
.itree
)itree.anova
, itree.class
, itree.exp
,
itree.class_purity
,itree.class_extremes
,
itree.regression_purity
, itree.regression_extremes
,
itree.poisson
return a list with componentsoffset
if necessary),summary.itree
,text.itree
.