Abstract
Clickstream analysis is a useful tool for investigating consumer behavior, market research and software testing. I present the clickstream package which provides functionality for reading, clustering, analyzing and writing clickstreams in R. The package allows for a modeling of lists of clickstreams as zero-, first-and higher-order Markov chains. I illustrate the application of clickstream for a list of representative clickstreams from an online store.
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CITATION STYLE
Scholz, M. (2016). R package clickstream: Analyzing clickstream data with Markov chains. Journal of Statistical Software, 74. https://doi.org/10.18637/jss.v074.i04
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