webtrackR: Analysing Web Tracking Data and Online News Behaviour

Implements data structures and methods to work with web tracking data. This includes data preprocessing steps, methods to construct audience networks as described in Mangold & Scharkow (2020) <doi:10.1080/19312458.2020.1724274>, and metrics of news audience polarization described in Mangold & Scharkow (2022) <doi:10.1080/19312458.2022.2085249>.

Version: 0.0.1
Depends: R (≥ 3.2.0)
Imports: data.table, tibble, igraph, urltools, utils
Suggests: backbone, stats, testthat (≥ 3.0.0)
Published: 2023-03-13
Author: David Schoch ORCID iD [aut, cre], Frank Mangold ORCID iD [aut], Sebastian Stier ORCID iD [aut]
Maintainer: David Schoch <david at schochastics.net>
BugReports: https://github.com/schochastics/webtrackR/issues
License: MIT + file LICENSE
URL: https://github.com/schochastics/webtrackR
NeedsCompilation: no
Materials: README
CRAN checks: webtrackR results


Reference manual: webtrackR.pdf


Package source: webtrackR_0.0.1.tar.gz
Windows binaries: r-devel: webtrackR_0.0.1.zip, r-release: webtrackR_0.0.1.zip, r-oldrel: webtrackR_0.0.1.zip
macOS binaries: r-release (arm64): webtrackR_0.0.1.tgz, r-oldrel (arm64): webtrackR_0.0.1.tgz, r-release (x86_64): webtrackR_0.0.1.tgz, r-oldrel (x86_64): webtrackR_0.0.1.tgz


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