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:	0.3.1
Depends:	R (≥ 3.5.0)
Imports:	utils, stats, fastmatch, adaR, httr, data.table (≥ 1.15.0)
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-04-30
DOI:	10.32614/CRAN.package.webtrackR
Author:	David Schoch [aut, cre], Bernhard Clemm von Hohenberg [aut], 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, https://schochastics.github.io/webtrackR/
NeedsCompilation:	no
Citation:	webtrackR citation info
Materials:	README NEWS
CRAN checks:	webtrackR results

Documentation:

Reference manual:	webtrackR.pdf
Vignettes:	webtrackR

Downloads:

Package source:	webtrackR_0.3.1.tar.gz
Windows binaries:	r-devel: webtrackR_0.3.1.zip, r-release: webtrackR_0.3.1.zip, r-oldrel: webtrackR_0.3.1.zip
macOS binaries:	r-release (arm64): webtrackR_0.3.1.tgz, r-oldrel (arm64): webtrackR_0.3.1.tgz, r-release (x86_64): webtrackR_0.3.1.tgz, r-oldrel (x86_64): webtrackR_0.3.1.tgz
Old sources:	webtrackR archive

Linking:

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