plot.multi_cutpointr

You can try plotting the data manually instead.

Estimate cutpoints that optimize a specified metric in binary classification tasks
and validate performance using bootstrapping. Some methods for more robust cutpoint
estimation are supported, e.g. a parametric method assuming normal distributions,
bootstrapped cutpoints, and smoothing of the metric values per cutpoint using
Generalized Additive Models. Various plotting functions are included. For an overview
of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.

Christian Thiele

cutpointr

Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks

plot.multi_cutpointr function

<dl><dt>x</dt>
<dd>A multi_cutpointr object.</dd>
<dt>...</dt>
<dd>Further arguments.</dd></dl>

Arguments

Plotting multi_cutpointr objects is currently not supported — plot.multi_cutpointr

<dl>

<dt>x</dt>
<dd>A multi_cutpointr object.</dd>


<dt>...</dt>
<dd>Further arguments.</dd>

</dl>

plot.multi_cutpointr: Plotting multi_cutpointr objects is currently not supported

Description

Usage

Arguments