print.cutpointr

Prints the <code>cutpointr</code> object with full width like a <code>tbl_df</code>.

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

print.cutpointr function

<dl><dt>x</dt>
<dd>a cutpointr object.</dd>
<dt>width</dt>
<dd>width of output.</dd>
<dt>n</dt>
<dd>number of rows to print.</dd>
<dt>sigfig</dt>
<dd>Number of significant digits to print. Temporarily
overrides options("pillar.sigfig").</dd>
<dt>...</dt>
<dd>further arguments.</dd></dl>

Arguments

Print cutpointr objects — print.cutpointr

<dl>

<dt>x</dt>
<dd>a cutpointr object.</dd>


<dt>width</dt>
<dd>width of output.</dd>


<dt>n</dt>
<dd>number of rows to print.</dd>


<dt>sigfig</dt>
<dd>Number of significant digits to print. Temporarily
overrides options("pillar.sigfig").</dd>


<dt>...</dt>
<dd>further arguments.</dd>

</dl>

print.cutpointr: Print cutpointr objects

Description

Usage

Arguments