get_nextobs_fromstream

Obtain the next observation from the stream

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

get_nextobs_fromstream function

<dl><dt>stream</dt>
<dd>The stream (vector) of observations.</dd>
<dt>streampos</dt>
<dd>The index of the stream position.</dd></dl>

Arguments

Obtain the next observation — get_nextobs_fromstream

<dl>

<dt>stream</dt>
<dd>The stream (vector) of observations.</dd>


<dt>streampos</dt>
<dd>The index of the stream position.</dd>

</dl>

get_nextobs_fromstream: Obtain the next observation

Description

Usage

Arguments