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 
[aut, cre],
Frank Mangold
[aut],
Sebastian Stier
[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 |
Documentation:
| Reference manual: | webtrackR.pdf |
Downloads:
| 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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