jlctree.control: Sets the control parameters for 'jlctree'.

Description Usage Arguments Value See Also

Description

Sets the control parameters for jlctree.

Usage

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jlctree.control(test.stat = "lrt", stop.thre = 3.84, stable = TRUE,
  maxng = 6, min.nevents = 5, split.add = 20, cov.max = 1e+05,
  fity = TRUE, fits = TRUE, ...)

Arguments

test.stat

test statistic to use, “lrt” for likelihood ratio test, and “wald” for Wald test. Default is “lrt”.

stop.thre

stops splitting if current node has test statistic less than stop.thre. Default is 3.84.

stable

if TRUE, check the variance of the estimated coefficients in survival models fit at tree nodes. If a node has variance larger than cov.max, the splitting function will not consider splits leading to that node. Default is TRUE.

maxng

maximum number of terminal nodes. Default is 6.

min.nevents

minimum number of events in any terminal node. By default, this parameter is set to the number of covariates used in the survival model.

split.add

when computing the difference between parent node's test statistic and sum of child nodes' test statistics, add split.add to the difference. When split.add > 0, tree may still split even if current split leads to negative improvement. Set split.add to a large positive value for the purpose of greedy splitting. Default is 20.

cov.max

upper bound on the variance of the estimated coefficients in survival models at tree nodes. Default is 1e5.

fity

if TRUE, once a tree is constructed, fit a linear mixed-effects model using tree nodes as group indicators. Default is TRUE.

fits

if TRUE, once a tree is constructed, fit survival models using tree nodes as group indicators. Default is TRUE.

...

further arguments to pass to or from other methods.

Value

A list of all these parameters.

See Also

jlctree,jlctree-package


jlctree documentation built on May 2, 2019, 1:07 p.m.