Package: clickstream 1.3.3
Michael Scholz
clickstream: Analyzes Clickstreams Based on Markov Chains
A set of tools to read, analyze and write lists of click sequences on websites (i.e., clickstream). A click can be represented by a number, character or string. Clickstreams can be modeled as zero- (only computes occurrence probabilities), first- or higher-order Markov chains.
Authors:
clickstream_1.3.3.tar.gz
clickstream_1.3.3.tar.gz(r-4.5-noble)clickstream_1.3.3.tar.gz(r-4.4-noble)
clickstream_1.3.3.tgz(r-4.4-emscripten)clickstream_1.3.3.tgz(r-4.3-emscripten)
clickstream.pdf |clickstream.html✨
clickstream/json (API)
NEWS
# Install 'clickstream' in R: |
install.packages('clickstream', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:f34112583e. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |
Exports:absorbingStatesas.ClickClustas.clickstreamsas.moltenTransactionsas.transactionschiSquareTestclusterClickstreamsfitMarkovChainfitMarkovChainsfrequenciesgetConsensusClustersgetConsensusClustersParallelgetOptimalMarkovChainhmPlotinitializemcEvaluatemcEvaluateAllmcEvaluateAllClustersplotpredictrandomClicksrandomClickstreamsreadClickstreamsshowstatessummarytransientStateswriteClickstreams
Dependencies:arulescliClickClustcolorspacecpp11data.tablefansifarvergenericsggplot2gluegtableigraphisobandlabelinglatticelifecyclelinproglpSolvemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangRsolnpscalesstringistringrtibbletruncnormutf8vctrsviridisLitewithr