Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
R Package clickstream: Analyzing Clickstream Data with Markov Chains | Scholz | Journal of Statistical Software
Authors: Michael Scholz
Title: R Package clickstream: Analyzing Clickstream Data with Markov Chains
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.

Page views:: 6122. Submitted: 2014-05-30. Published: 2016-10-20.
Paper: R Package clickstream: Analyzing Clickstream Data with Markov Chains     Download PDF (Downloads: 6654)
Supplements:
clickstream_1.1.9.tar.gz: R source package Download (Downloads: 270; 19KB)
v74i04.R: R replication code Download (Downloads: 314; 4KB)
sample.csv: Supplementary data (CSV format) Download (Downloads: 405; 334B)

DOI: 10.18637/jss.v074.i04

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.