evalTree: Evaluate performance of a conditional inference tree

Description Usage Arguments Value Author(s) See Also

View source: R/evalTree.R

Description

This function evaluates the performance of a so-called conditional inference tree (see ?ctree for details) by calculating various scores, e.g. accuracy, probability of detection, and false alarm ratio. See http://cawcr.gov.au/projects/verification/ for further information.

Usage

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evalTree(independ = NULL, depend, data, seed = 10L, size = 1000L,
  minbucket = 100L, n.cores = 1L, ...)

Arguments

independ

numeric. Column index(es) of independent variable(s).

depend

numeric. Column index of dependent variable.

data

data.frame with independent and dependent variables.

seed

integer. Seed required for random number generation, see set.seed.

size

integer. Size of the training sample.

minbucket

integer. Minimum sum of weights in a terminal node.

n.cores

integer. Number of cores for parallel computing.

...

Further arguments passed on to ctree_control.

Value

Model evaluation statistics.

Author(s)

Florian Detsch

See Also

ctree, ctree_control.


environmentalinformatics-marburg/Rsenal documentation built on Sept. 23, 2018, 5:17 a.m.