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clickstream (version 1.1.3)

Analyzes Clickstreams based on Markov Chains

Description

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.

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Version

Install

install.packages('clickstream')

Monthly Downloads

424

Version

1.1.3

License

GPL-2

Maintainer

Michael Scholz

Last Published

January 9th, 2015

Functions in clickstream (1.1.3)

randomClicks-methods

Generates a sequence of clicks
clickstream-package

Analyzes clickstreams based on Markov chains
print.ClickstreamClusters

Prints a ClickstreamClusters object
MarkovChain-class

Class "MarkovChain"
randomClickstreams

Generates a list of clickstreams
predict.ClickstreamClusters

Predicts the cluster for a given Pattern object
absorbingStates-methods

Returns all absorbing states
states-methods

Returns all states
Pattern-class

Class "Pattern"
print.Clickstreams

Prints a list of clickstreams
print.MarkovChainSummary

Prints the summary of a MarkovChain object
writeClickstreams

Writes a list of clickstreams to a file
summary-methods

Prints a summary of a MarkovChain object
transientStates-methods

Returns all transient states
summary.Clickstreams

Prints a summary of a list of clickstreams
predict-methods

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

Prints a summary of a ClickstreamCluster object
fitMarkovChain

Fits a list of clickstreams to a Markov chain
readClickstreams

Reads a list of clickstreams from a file
clusterClickstreams

Perform k-means clustering on a list of clickstreams