Fftm: Wrapper function fftm

Description Usage Arguments Value See Also

View source: R/fftm.R

Description

Wrapper function fftm

Fftm is used to fit Fast- and Frugal tree models, specified by giving a symbolic description of the predictors and the criterion.

Usage

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Fftm(formula, ...)

## Default S3 method:
Fftm(formula, method, data, criterion = NULL,
  autoprune = TRUE, xvalidate.parts = 2, sdtfun = NULL, cuelist = NULL,
  ...)

Arguments

formula

an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. The details of model specification are given under <e2><80><98>Details<e2><80><99>.

...

Additional parameter which should be passed to called method.

method

stringvector which specifies the method. bruteforcemaximize, maximize, montecarlo or chase

data

Dataframe containing the variables in the model.

criterion

cue; OPTIONAL: If criterion in data isn't binary, use a predefined criterion cue.

autoprune

logical: If set to true prune is called before returning the tree or all trees of the list. Default: TRUE

xvalidate.parts

integer, how many party of data should be generated (odd-even method) to crossvalidate the model

sdtfun

optional function with 4 parameters (hits, falsealarms, misses, correctrejections). Has to return a named vector. The returned value can be maximized.

cuelist

optional list with cues. The names of the cues have to match the columns provided in data.

Value

ANY; Depending on used method, return value can either be a list, or a fftree.

See Also

Fftm.default

bruteforcemaximize, maximize, chase, montecarlo


fftrees documentation built on May 31, 2017, 3:55 a.m.

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