+,Pattern,Pattern-method
                        Concatenates two 'Pattern' objects
EvaluationResult-class
                        Class 'EvaluationResult'
MarkovChain-class       Class 'MarkovChain'
Pattern-class           Class 'Pattern'
absorbingStates         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-package     Analyzes Clickstreams Based on Markov Chains
clusterClickstreams     Performs K-Means Clustering on a List of
                        Clickstreams
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
initialize,Pattern-method
                        Creates a new 'Pattern' object
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
plot,MarkovChain-method
                        Plots a 'MarkovChain' object
predict,MarkovChain-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
randomClickstreams      Generates a List of Clickstreams
readClickstreams        Reads a List of Clickstreams from File
show,EvaluationResult-method
                        Shows an 'EvaluationResult' object
show,MarkovChain-method
                        Shows a 'MarkovChain' object
show,Pattern-method     Shows a 'Pattern' object
states                  Returns All States
summary,MarkovChain-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
writeClickstreams       Writes a List of Clickstreams to File
