R: Analyzes Clickstreams Based on Markov Chains

# Analyzes Clickstreams Based on Markov Chains

## Documentation for package ‘clickstream’ version 1.3.4

- 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