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 |
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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