checkBooleans

Make sure the booleans <code>multiple</code> and <code>single</code> are not both 
<code>NULL</code>. Also

internal

An implementation of the adaptive forgetting factor scheme described in Bodenham and Adams (2016) <doi:10.1007/s11222-016-9684-8> which adaptively estimates the mean and variance of a stream in order to detect multiple changepoints in streaming data. The implementation is in 'C++' and uses 'Rcpp'. Additionally, implementations of the fixed forgetting factor scheme from the same paper, as well as the classic cumulative sum ('CUSUM') and exponentially weighted moving average ('EWMA') methods, are included.

Dean Bodenham

ffstream

Forgetting Factor Methods for Change Detection in Streaming Data

checkBooleans function

<dl><dt>multiple</dt>
<dd>A boolean</dd>
<dt>single</dt>
<dd>A boolean</dd>
<dt>usePrechange</dt>
<dd>A boolean</dd>
<dt>skipCheck</dt>
<dd>A boolean</dd>
<dt>functionName</dt>
<dd>The name of the original function which is being
called to check the parameters. Will help user
with debugging. Default is <code>""</code>, in which
case no function name will be displayed.</dd></dl>

Arguments

Check the multiple and single flags, as well as usePrechange and skipCheck — checkBooleans

<dl>

<dt>multiple</dt>
<dd>A boolean</dd>


<dt>single</dt>
<dd>A boolean</dd>


<dt>usePrechange</dt>
<dd>A boolean</dd>


<dt>skipCheck</dt>
<dd>A boolean</dd>


<dt>functionName</dt>
<dd>The name of the original function which is being
called to check the parameters. Will help user
with debugging. Default is <code>""</code>, in which
case no function name will be displayed.</dd>

</dl>

checkBooleans: Check the multiple and single flags, as well as usePrechange and skipCheck

Description

Usage

Arguments