TY - JOUR AU - Scholz, Michael PY - 2016/10/20 Y2 - 2024/03/29 TI - R Package clickstream: Analyzing Clickstream Data with Markov Chains JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 74 IS - 4 SE - Articles DO - 10.18637/jss.v074.i04 UR - https://www.jstatsoft.org/index.php/jss/article/view/v074i04 SP - 1 - 17 AB - 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. ER -