evaluate_cpts

evaluate_cpts.seg_basket

evaluate_cpts.list

evaluate_cpts.tbl_df

Evaluate candidate changepoints sets

internal

Changepoint detection algorithms for R are widespread but have
different interfaces and reporting conventions.
This makes the comparative analysis of results difficult.
We solve this problem by providing a tidy, unified interface for several
different changepoint detection algorithms.
We also provide consistent numerical and graphical reporting leveraging
the 'broom' and 'ggplot2' packages.

Ben Baumer

tidychangepoint

A Tidy Framework for Changepoint Detection Analysis

Benjamin S. Baumer

Biviana Marcela Suárez Sierra

Arrigo Coen

Carlos A. Taimal

Xueheng Shi

evaluate_cpts function

<dl><dt>x</dt>
<dd>An object to evaluate</dd>
<dt>...</dt>
<dd>arguments passed to methods</dd>
<dt>.data</dt>
<dd>A time series</dd>
<dt>model_fn</dt>
<dd>Name of the function to fit the model.
See, for examples, <code>fit_meanshift_norm()</code>.</dd></dl>

Arguments

Evaluate candidate changepoints sets — evaluate_cpts

<dl>

<dt>x</dt>
<dd>An object to evaluate</dd>


<dt>...</dt>
<dd>arguments passed to methods</dd>


<dt>.data</dt>
<dd>A time series</dd>


<dt>model_fn</dt>
<dd>Name of the function to fit the model.
See, for examples, <code>fit_meanshift_norm()</code>.</dd>

</dl>

Evaluate candidate changepoints sets

evaluate_cpts: Evaluate candidate changepoints sets

Description

Usage

Value

Arguments