Welcome to ClientVPS Mirrors

CRAN: Package webtrackR

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: 0.3.2
Depends: R (≥ 3.5.0)
Imports: utils, stats, fastmatch, adaR, httr, data.table (≥ 1.18.0)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-01-23
DOI: 10.32614/CRAN.package.webtrackR
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/gesistsa/webtrackR/issues
License: MIT + file LICENSE
URL: https://github.com/gesistsa/webtrackR
NeedsCompilation: no
Citation: webtrackR citation info
Materials: README, NEWS
CRAN checks: webtrackR results

Documentation:

Reference manual: webtrackR.html , webtrackR.pdf
Vignettes: webtrackR (source, R code)

Downloads:

Package source: webtrackR_0.3.2.tar.gz
Windows binaries: r-devel: webtrackR_0.3.2.zip, r-release: webtrackR_0.3.2.zip, r-oldrel: webtrackR_0.3.2.zip
macOS binaries: r-release (arm64): webtrackR_0.3.2.tgz, r-oldrel (arm64): webtrackR_0.3.2.tgz, r-release (x86_64): webtrackR_0.3.2.tgz, r-oldrel (x86_64): webtrackR_0.3.2.tgz
Old sources: webtrackR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=webtrackR to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.