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.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | DBI, RPostgres, dplyr, dbplyr, sf |
Suggests: | testthat, covr, knitr, rmarkdown, magrittr, stringr, RColorBrewer, ggplot2, DiagrammeR |
Published: | 2020-07-16 |
Author: | Ernest Guevarra [aut, cre], Chris Mercado [aut], Robert Medina [aut] |
Maintainer: | Ernest Guevarra <ernest at guevarra.io> |
BugReports: | https://github.com/como-ph/oxcovid19/issues |
License: | GPL-3 |
URL: | https://github.com/como-ph/oxcovid19 |
NeedsCompilation: | no |
Language: | en-gb |
Materials: | README NEWS |
CRAN checks: | oxcovid19 results |
Reference manual: | oxcovid19.pdf |
Vignettes: |
OxCOVID19 Database Access An R API to the Oxford COVID-19 Database Country level visualisation for Mainland China |
Package source: | oxcovid19_0.1.0.tar.gz |
Windows binaries: | r-devel: oxcovid19_0.1.0.zip, r-release: oxcovid19_0.1.0.zip, r-oldrel: oxcovid19_0.1.0.zip |
macOS binaries: | r-release: oxcovid19_0.1.0.tgz, r-oldrel: oxcovid19_0.1.0.tgz |
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