[aut, cre],
Chris Mercado
[aut],
Robert Medina
[aut],
Alexander Zarebski [aut]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: | 0.1.2 |
| Depends: | R (≥ 2.10) |
| Imports: | DBI, RPostgres, dplyr, sf, dbplyr, lubridate, countrycode, magrittr |
| Suggests: | testthat, covr, knitr, rmarkdown, rvest, stringr, RColorBrewer, ggplot2, DiagrammeR, spelling |
| Published: | 2020-10-29 |
| Author: | Ernest Guevarra
[aut, cre],
Chris Mercado
[aut],
Robert Medina
[aut],
Alexander Zarebski [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_0.1.2.tar.gz |
| Windows binaries: | r-devel: oxcovid19_0.1.2.zip, r-release: oxcovid19_0.1.2.zip, r-oldrel: oxcovid19_0.1.2.zip |
| macOS binaries: | r-release: oxcovid19_0.1.2.tgz, r-oldrel: oxcovid19_0.1.2.tgz |
| Old sources: | oxcovid19 archive |
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