The OxCOVID19 Project <https://covid19.eng.ox.ac.uk> aims to increase our understanding of the COVID-19 pandemic and elaborate possible strategies to reduce the impact on the society through the combined power of statistical, mathematical modelling, and machine learning techniques. The OxCOVID19 Database is a large, single-centre, multimodal relational database consisting of information (using acknowledged sources) related to COVID-19 pandemic. This package provides an R-specific interface to the OxCOVID19 Database based on widely-used data handling and manipulation approaches in R.
|Author||Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>), Chris Mercado [aut] (<https://orcid.org/0000-0002-5588-9543>), Robert Medina [aut] (<https://orcid.org/0000-0001-6647-5453>), Alexander Zarebski [aut]|
|Maintainer||Ernest Guevarra <email@example.com>|
|Package repository||View on CRAN|
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