getExistsErrorMessage

For a particular parameter, create an error message specifying that
the parameter does not exist (e.g. <code>Na</code>, which is not the same
as <code>NA</code>).

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

getExistsErrorMessage function

<dl><dt>paramName</dt>
<dd>Name of parameter, e.g. <code>lambda</code></dd>
<dt>value</dt>
<dd>The name of the object that does not exist.</dd>
<dt>algoName</dt>
<dd>Name of algorithm, e.g. <code>AFF change detector</code></dd>
<dt>functionName</dt>
<dd>The name of the original function which is being
called to check the parameters. Will help user
with debugging.</dd></dl>

Arguments

Create the error message for a certain parameter that does not exist — getExistsErrorMessage

<dl>

<dt>paramName</dt>
<dd>Name of parameter, e.g. <code>lambda</code></dd>


<dt>value</dt>
<dd>The name of the object that does not exist.</dd>


<dt>algoName</dt>
<dd>Name of algorithm, e.g. <code>AFF change detector</code></dd>


<dt>functionName</dt>
<dd>The name of the original function which is being
called to check the parameters. Will help user
with debugging.</dd>

</dl>

getExistsErrorMessage: Create the error message for a certain parameter that does not exist

Description

Usage

Arguments