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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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=webtrackR
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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