user_span_cutpointr

data

<p>This function implements a rule of thumb for selecting the bandwidth when
smoothing a function of metric values per cutpoint value, particularly
in <code>maximize_loess_metric</code> and <code>minimize_loess_metric</code>.</p>

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

user_span_cutpointr: Calculate bandwidth for LOESS smoothing of metric functions by rule of thumb

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