fit_nhpp_region

Fit an NHPP model to one specific region

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

fit_nhpp_region function

<dl><dt>exc</dt>
<dd>Output from <code>exceedances()</code></dd>
<dt>tau_left</dt>
<dd>left-most changepoint</dd>
<dt>tau_right</dt>
<dd>right-most changepoint</dd>
<dt>params</dt>
<dd>Output from <code>parameters_weibull()</code></dd>
<dt>...</dt>
<dd>arguments passed to <code><a href="/link/stats%3A%3Aoptim()?package=tidychangepoint&version=1.0.1" data-mini-rdoc="tidychangepoint::stats::optim()">stats::optim()</a></code></dd></dl>

Arguments

Fit an NHPP model to one specific region — fit_nhpp_region

<dl>

<dt>exc</dt>
<dd>Output from <code>exceedances()</code></dd>


<dt>tau_left</dt>
<dd>left-most changepoint</dd>


<dt>tau_right</dt>
<dd>right-most changepoint</dd>


<dt>params</dt>
<dd>Output from <code>parameters_weibull()</code></dd>


<dt>...</dt>
<dd>arguments passed to <code><a href='https://rdrr.io/r/stats/optim.html'>stats::optim()</a></code></dd>

</dl>

fit_nhpp_region: Fit an NHPP model to one specific region

Description

Usage

Value

Arguments

Details

See Also