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R/FFTrees.R

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#' Instead, the tree definitions provided are used to re-evaluate the current \code{FFTrees} object on current data.
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#'
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#' @param quiet A list of 4 logical arguments: Should detailed progress reports be suppressed?
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#' Setting list elements to \code{FALSE} is helpful when diagnosing errors.
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#' Default: \code{quiet = list(ini = TRUE, fin = FALSE, mis = FALSE, set = TRUE)},
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#' for initial vs. final steps, missing cases, and parameter settings, respectively.
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#' Setting list elements to \code{FALSE} is helpful when diagnosing errors.
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#' Providing a single logical value sets all elements to \code{TRUE} or \code{FALSE}.
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#'
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#' @param comp,do.comp,do.lr,do.cart,do.svm,do.rf,force,rank.method,rounding,store.data,verbose Deprecated arguments (unused or replaced, to be retired in future releases).

R/fftrees_create.R

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#' @param my.tree A verbal description of an FFT, i.e., an "FFT in words" (as character string).
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#' For example, \code{my.tree = "If age > 20, predict TRUE. If sex = {m}, predict FALSE. Otherwise, predict TRUE."}.
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#'
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#' @param quiet A list of logical elements.
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#' @param quiet A list of 4 logical arguments: Should detailed progress reports be suppressed?
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#' Default: \code{quiet = list(ini = TRUE, fin = FALSE, mis = FALSE, set = TRUE)}.
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#'
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#'
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#' @return A new \code{FFTrees} object.

vignettes/FFTrees_accuracy_statistics.Rmd

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```
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## Accuracy Statistics in **FFTrees**
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## Accuracy statistics in **FFTrees**
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In this vignette, we cover how accuracy statistics are calculated for FFTs and the **FFTrees** package [as described in @phillips2017FFTrees].
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Most of these measures are not specific to FFTs and can be used for any classification algorithm.

vignettes/guide.Rmd

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FFTs are simple and transparent decision algorithms for solving binary classification problems in an\ effective and efficient fashion.
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## Fast-and-Frugal Trees (FFTs)
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## Fast-and-frugal trees (FFTs)
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<!-- Defining FFTs: -->
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