webtrackR: Preprocessing and Analyzing Web Tracking Data

Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: data.table, tibble, igraph, urltools, utils, rvest, httr
Suggests: backbone, stats, testthat (≥ 3.0.0)
Published: 2023-08-31
Author: David Schoch ORCID iD [aut, cre], Bernhard Clemm von Hohenberg ORCID iD [aut], 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, https://schochastics.github.io/webtrackR/
NeedsCompilation: no
Citation: webtrackR citation info
Materials: README NEWS
CRAN checks: webtrackR results


Reference manual: webtrackR.pdf


Package source: webtrackR_0.1.0.tar.gz
Windows binaries: r-devel: webtrackR_0.1.0.zip, r-release: webtrackR_0.1.0.zip, r-oldrel: webtrackR_0.1.0.zip
macOS binaries: r-release (arm64): webtrackR_0.1.0.tgz, r-oldrel (arm64): webtrackR_0.1.0.tgz, r-release (x86_64): webtrackR_0.1.0.tgz, r-oldrel (x86_64): webtrackR_0.1.0.tgz
Old sources: webtrackR archive


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