Analyzes Clickstreams Based on Markov Chains

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Documentation for package ‘clickstream’ version 1.3.3

• DESCRIPTION file.
• Package NEWS.

Help Pages

clickstream-package	Analyzes Clickstreams Based on Markov Chains
+-method	Concatenates two 'Pattern' objects
absorbingStates	Returns All Absorbing States
absorbingStates-method	Returns All Absorbing States
as.ClickClust	Coerces a Clickstream Object to a ClickClust Object
as.clickstreams	Converts a character vector or a character list into a clickstream list.
as.moltenTransactions	Coerces a Clickstream Object to a Transactions Object
as.transactions	Coerces a Clickstream Object to a Transactions Object
chiSquareTest	Calculates the chi-square statistic
clickstream	Analyzes Clickstreams Based on Markov Chains
clusterClickstreams	Performs K-Means Clustering on a List of Clickstreams
EvaluationResult-class	Class 'EvaluationResult'
fitMarkovChain	Fits a List of Clickstreams to a Markov Chain
fitMarkovChains	Generates a list of markov chains from a given set of clusters
frequencies	Generates a Data Frame of State Frequencies for All Clickstreams in a List of Clickstreams
getConsensusClusters	Generates an optimal set of clusters for a clickstream object based on consensus clustering.
getConsensusClustersParallel	Generates an optimal set of clusters for a clickstream based on consensus clustering and with parallel computation
getOptimalMarkovChain	Generates the optimal markov chains from a list of markov chains and corresponding clusters
hmPlot	Plots a Heatmap
hmPlot-method	Plots a Heatmap
initialize-method	Creates a new 'Pattern' object
MarkovChain-class	Class 'MarkovChain'
mcEvaluate	Evaluates the number of occurrences of predicted next clicks
mcEvaluateAll	Evaluates all next page clicks in a clickstream training data set against a test data
mcEvaluateAllClusters	Evaluates all next page clicks in a clickstream training data set against a test data
Pattern-class	Class 'Pattern'
plot-method	Plots a 'MarkovChain' object
predict-method	Predicts the Next Click(s) of a User
predict.ClickstreamClusters	Predicts the Cluster for a Given Pattern Object
print.ClickstreamClusters	Prints a ClickstreamClusters Object
print.Clickstreams	Prints a Clickstreams Object
print.MarkovChainSummary	Prints the Summary of a MarkovChain Object
randomClicks	Generates a Sequence of Clicks
randomClicks-method	Generates a Sequence of Clicks
randomClickstreams	Generates a List of Clickstreams
readClickstreams	Reads a List of Clickstreams from File
show-method	Shows an 'EvaluationResult' object
show-method	Shows a 'MarkovChain' object
show-method	Shows a 'Pattern' object
states	Returns All States
states-method	Returns All States
summary-method	Prints the Summary of a MarkovChain Object
summary.ClickstreamClusters	Prints a Summary of a ClickstreamCluster Object
summary.Clickstreams	Prints a Summary of a Clickstreams Object
transientStates	Returns All Transient States
transientStates-method	Returns All Transient States
writeClickstreams	Writes a List of Clickstreams to File