transientStates

transientStates,MarkovChain-method

methods

A set of tools to read, analyze and write lists of click sequences
on websites (i.e., clickstream). A click can be represented by a number,
character or string. Clickstreams can be modeled as zero- (only computes
occurrence probabilities), first- or higher-order Markov chains.

Michael Scholz

clickstream

Analyzes Clickstreams Based on Markov Chains

transientStates function

<dl><dt>object</dt>
<dd>An instance of the <code>MarkovChain</code>-class</dd></dl>

Arguments

<dl><dt>list("signature(object = \"MarkovChain\")")</dt>
<dd>Returns the names of all states that have a non-zero
probability that a user will never return to them (i.e. that are transient).</dd>
 
</dl>

Methods

Michael Scholz <a href="/link/michael.scholz%40th-deg.de?package=clickstream&version=1.3.3" data-mini-rdoc="clickstream::michael.scholz@th-deg.de">michael.scholz@th-deg.de</a>

Author

Returns All Transient States — transientStates

<dl>

<dt>object</dt>
<dd>An instance of the <code>MarkovChain</code>-class</dd>

</dl>

<dl>

<dt>list("signature(object = \"MarkovChain\")")</dt>
<dd>Returns the names of all states that have a non-zero
probability that a user will never return to them (i.e. that are transient).</dd>
 
</dl>

Michael Scholz <a href='mailto:michael.scholz@th-deg.de'>michael.scholz@th-deg.de</a>

transientStates: Returns All Transient States

Description

Usage

Arguments

Methods

Author