extree_control: Control for extensible trees
In partykitx: A Toolkit for Recursive Partytioning

Description Usage Arguments Details Value

Various parameters that control aspects of the ‘extree’ fit.

extree_control(
    criterion, 
    logmincriterion, 
    minsplit = 20L,
    minbucket = 7L, 
    minprob = 0.01, 
    nmax = Inf,
    stump = FALSE,
    lookahead = FALSE, 
    maxsurrogate = 0L, 
    numsurrogate = FALSE,
    mtry = Inf,
    maxdepth = Inf, 
    multiway = FALSE, 
    splittry = 2L,
    majority = FALSE, 
    caseweights = TRUE, 
    applyfun = NULL, 
    cores = NULL,
    saveinfo = TRUE,
    bonferroni = FALSE,
    update = NULL,
    selectfun, 
    splitfun, 
    svselectfun,
    svsplitfun 
)

`criterion`	a character specifying the criterion used for variable and split point selection. Either "p.value" or "statistic".
`logmincriterion`	the value of the test statistic or 1 - p-value that must be exceeded in order to implement a split on the log-scale.
`minsplit`	the minimum sum of weights in a node in order to be considered for splitting.
`minbucket`	the minimum sum of weights in a terminal node.
`minprob`	proportion of observations needed to establish a terminal node.
`nmax`
`stump`	a logical determining whether a stump (a tree with a maximum of three nodes only) is to be computed.
`lookahead`	a logical determining whether a split is implemented only after checking if `trafo` in both daughter nodes converges.
`maxsurrogate`	number of surrogate splits to evaluate.
`numsurrogate`	a logical for backward-compatibility with party. If `TRUE`, only at least ordered variables are considered for surrogate splits.
`mtry`	number of input variables randomly sampled as candidates at each node for random forest like algorithms. The default `mtry = Inf` means that no random selection takes place.
`maxdepth`	maximum depth of the tree. The default `maxdepth = Inf` means that no restrictions are applied to tree sizes.
`multiway`	CURRENTLY IGNORED. A logical indicating if multiway splits for all factor levels are implemented for unordered factors.
`splittry`	number of variables that are inspected for admissible splits if the best split doesn't meet the sample size constraints.
`majority`	if `FALSE`, observations which can't be classified to a daughter node because of missing information are randomly assigned (following the node distribution). If `TRUE`, they go with the majority.
`caseweights`	a logical interpreting `weights` as case weights.
`applyfun`	an optional `lapply`-style function with arguments `function(X, FUN, ...)`. It is used for computing the variable selection criterion. The default is to use the basic `lapply` function unless the `cores` argument is specified (see below).
`cores`	numeric. If set to an integer the `applyfun` is set to `mclapply` with the desired number of `cores`.
`saveinfo`	logical. Store information about variable selection procedure in `info` slot of each `partynode`.
`update`	logical. If `TRUE`, the data transformation is updated in every node.
`bonferroni`	logical. Should `p` values be Bonferroni corrected?
`selectfun`	a function or list of functions with arguments `model`, `trafo`, `data`, `subset`, `weights`, `j`, `split_only`, `control`. Each list element must have a unique name according to the variable type (?).
`splitfun`	a function or list of functions with arguments `model`, `trafo`, `data`, `subset`, `weights`, `whichvar`, `ctrl`. Each list element must have a unique name according to the variable type (?).
`svselectfun`	an optional function or list of functions for selecting surrogate variables.
`svsplitfun`	an optional function or list of functions for selecting surrogate splits.

The arguments splitfun determines how to selected a splitting variable for a node. It returns a list of p-values and test statistics per variable. The variables are sorted by the p-value or test statistic (according to criterion) and their sorted indices are the input for the selectfun in form of the argument whichvar.

For details on the other arguments, see ctree_control. For an example, see extree.

A list.

partykitx documentation built on Sept. 3, 2020, 3:01 p.m.