API for bgreenwell/treemisc
Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R"

Global functions
banknote Man page
banknote2 Man page
calibrate Man page Source code
cummean Man page Source code
decision_boundary Man page Source code
decision_boundary.default Man page Source code
gbm_2way Man page Source code
gen_friedman1 Man page Source code
gen_mease Man page Source code
get_class_labels Source code
get_class_labels.constparty Source code
get_class_labels.default Source code
get_class_labels.lda Source code
get_class_labels.qda Source code
get_class_labels.rpart Source code
guide_setup Man page Source code
hitters Man page
isle_post Man page Source code
ladboost Man page Source code
lift Man page Source code
load_eslmix Man page Source code
lsboost Man page Source code
mushroom Man page
plot.calibrate Man page Source code
plot.lift Man page Source code
predict.ladboost Man page Source code
predict.lsboost Man page Source code
predict.rforest Man page Source code
predict.rftree Man page Source code
print.calibrate Man page Source code
print.ladboost Man page Source code
print.lsboost Man page Source code
proximity Man page Source code
proximity.default Man page Source code
proximity.matrix Man page Source code
proximity.ranger Man page Source code
proximity_cpp Source code
prune_se Man page Source code
rforest Man page Source code
rftree Man page Source code
rrm Man page Source code
suppressRegressionWarning Man page Source code
tree_diagram Man page Source code
treemisc Man page
treemisc-package Man page
wilson_hilferty Man page Source code
wine Man page
xy_grid Man page Source code
xy_grid.data.frame Man page Source code
xy_grid.default Man page Source code
xy_grid.formula Man page Source code
xy_grid.matrix Man page Source code
bgreenwell/treemisc documentation built on Oct. 26, 2022, 12:56 a.m.