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 |