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clickstream (version 1.1.0)

Analyzes clickstreams based on Markov chains

Description

This package allows modeling clickstreams with Markov chains. It supports to model clickstreams as zero-order, first-order or higher-order Markov chains.

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Version

Install

install.packages('clickstream')

Monthly Downloads

424

Version

1.1.0

License

GPL-2

Maintainer

Michael Scholz

Last Published

March 28th, 2014

Functions in clickstream (1.1.0)

predict.ClickstreamClusters

Predicts the cluster for a given Pattern object
print.MarkovChainSummary

Prints the summary of a MarkovChain object
absorbingStates-methods

Returns all absorbing states
print.ClickstreamClusters

Prints a ClickstreamClusters object
randomClicks-methods

Generates a sequence of clicks
predict-methods

Predicts the next click(s) of a user
summary.Clickstreams

Prints a summary of a list of clickstreams
summary-methods

Prints a summary of a MarkovChain object
clusterClickstreams

Perform k-means clustering on a list of clickstreams
randomClickstreams

Generates a list of clickstreams
MarkovChain-class

Class "MarkovChain"
clickstream-package

Analyzes clickstreams based on Markov chains
print.Clickstreams

Prints a list of clickstreams
Pattern-class

Class "Pattern"
states-methods

Returns all states
summary.ClickstreamClusters

Prints a summary of a ClickstreamCluster object
fitMarkovChain

Fits a list of clickstreams to a Markov chain
writeClickstreams

Writes a list of clickstreams to a file
readClickstreams

Reads a list of clickstreams from a file
transientStates-methods

Returns all transient states