clickstream (version 1.1.4)

clickstream-package: Analyzes Clickstreams Based on Markov Chains

Description

This package allows modeling clickstreams with Markov chains. It supports to model clickstreams as zero-order, first-order or higher-order Markov chains.

Details

ll{ Package: clickstream Type: Package Version: 1.1.4 Date: 2015-05-17 License: GPL-2 Depends: R (>= 3.0), methods }

References

For modeling clickstreams with Markov chains, see Ching, W.- K. et al.: Markov Chains -- Models, Algorithms and Applications, 2nd edition, Springer, 2013.

Examples

# fitting a simple Markov chain and predicting the next click
clickstreams <- c("User1,h,c,c,p,c,h,c,p,p,c,p,p,o",
               "User2,i,c,i,c,c,c,d",
               "User3,h,i,c,i,c,p,c,c,p,c,c,i,d",
               "User4,c,c,p,c,d",
               "User5,h,c,c,p,p,c,p,p,p,i,p,o",
               "User6,i,h,c,c,p,p,c,p,c,d")
csf <- tempfile()
writeLines(clickstreams, csf)
cls <- readClickstreams(csf, header = TRUE)
mc <- fitMarkovChain(cls)
startPattern <- new("Pattern", sequence = c("h", "c"))
predict(mc, startPattern)
plot(mc)