rsp |
a response variable. |
m |
a dataframe (training data). |
test.data |
a data frame containing new data. |
method |
Which split points will be used? This can be "deviance"
(default), "grid" or "local" . If the method is set to:
local the program uses the local maxima of the split function(entropy),
deviance all values of the entropy, grid grid points. |
topn.method |
one of "complete" (default) or "single" .
A specification of the consideration of the split points.
If set to "complete" it uses split points from all variables,
else it uses split points per variable. |
minsplit |
the minimum number of observations that must exist in a
node. |
minbucket |
the minimum number of observations in any terminal
<leaf> node. |
Dmin |
the minimum improvement on entropy by splitting. |
topN |
a integer vector. How many splits will be selected and at which
level? If length 1, the same size of splits will be selected at each level.
If length > 1, for example topN=c(3,2) , 3 splits will be chosen
at first level, 2 splits at second level and for all next levels 1 split. |
level |
maximum depth of the trees. If level set to 1, trees
consist of root node. |
st |
step parameter for method "grid" . |
tol |
parameter, which will be used, if topn.method is set to
"single" . |
lev |
Internal parameter. |
K |
k-fold cross-validation. |
oldspvar |
internal parameter. |