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clickstream (version 1.1.5)

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

1.1.5

License

GPL-2

Maintainer

Michael Scholz

Last Published

July 7th, 2015

Functions in clickstream (1.1.5)

absorbingStates-methods

Returns All Absorbing States
MarkovChain-class

Class "MarkovChain"
predict-methods

Predicts the Next Click(s) of a User
writeClickstreams

Writes a List of Clickstreams to File
states-methods

Returns All States
print.ClickstreamClusters

Prints a ClickstreamClusters Object
frequencies

Generates a Data Frame of State Frequencies for All Clickstreams in a List of Clickstreams
clickstream-package

Analyzes Clickstreams Based on Markov Chains
randomClickstreams

Generates a List of Clickstreams
Pattern-class

Class "Pattern"
transientStates-methods

Returns All Transient States
show-methods

Shows a Pattern Object
summary.Clickstreams

Prints a Summary of a Clickstreams Object
as.transactions

Coerces a Clickstream Object to a Transactions Object
readClickstreams

Reads a List of Clickstreams from File
fitMarkovChain

Fits a List of Clickstreams to a Markov Chain
print.Clickstreams

Prints a Clickstreams Object
predict.ClickstreamClusters

Predicts the Cluster for a Given Pattern Object
summary-methods

Prints the Summary of a MarkovChain Object
summary.ClickstreamClusters

Prints a Summary of a ClickstreamCluster Object
randomClicks-methods

Generates a Sequence of Clicks
print.MarkovChainSummary

Prints the Summary of a MarkovChain Object
clusterClickstreams

Performs K-Means Clustering on a List of Clickstreams