The first beta testing version of debiasR is now available. debiasR is an open-source R package developed as part of the DEBIAS project to support researchers working with digital trace data on human mobility.
The package provides tools for assessing and correcting population representation bias in spatio-temporally aggregated data, including population counts by location and origin-destination flows between places. The current beta version focuses on three tasks: measuring coverage and representativeness bias, adjusting biased mobility flows, and validating adjusted outputs against benchmark data.
We introduced the beta version during the PhD School workshop “Correcting Biases in Mobile-Phone Mobility Data: The DEBIAS Framework” at the 10th Mobile Tartu Conference, hosted by the Mobility Lab at the University of Tartu. The workshop gave doctoral researchers hands-on experience with the DEBIAS framework and the package workflow.
The package can be installed from GitHub using:
pak::pak("de-bias/debiasR")or:
remotes::install_github("de-bias/debiasR")Users who want to reproduce the empirical examples in the vignettes can also install the companion data package:
pak::pak("de-bias/debiasRdata")This is an early testing version. Feedback can be submitted through the debiasR GitHub repository, using GitHub Issues for bug reports, feature requests and methodological suggestions. Contributions are also welcome through pull requests, following the package contributing guidelines.
More information is available on the debiasR package website and the DEBIAS project website.
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