Preprocessing and Analyzing Web Tracking Data R package webtrackR version 0.3.2 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>). Software Depends: R (>= 3.5.0) Imports: utils, stats, fastmatch, adaR, httr, data.table (>= 1.18.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) David Schoch <david@schochastics.net> Comprehensive R Archive Network (CRAN) David Schoch [aut, cre] (ORCID: <https://orcid.org/0000-0003-2952-4812>), Bernhard Clemm von Hohenberg [aut] (ORCID: <https://orcid.org/0000-0002-6976-9745>), Frank Mangold [aut] (ORCID: <https://orcid.org/0000-0002-9776-3113>), Sebastian Stier [aut] (ORCID: <https://orcid.org/0000-0002-1217-5778>) MIT + file LICENSE (https://CRAN.R-project.org/package=webtrackR/LICENSE) 2026-01-23 application/tgz https://CRAN.R-project.org/package=webtrackR doi:10.32614/CRAN.package.webtrackR