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Offers access to a database on government responses to the COVID-19 pandemic. To date, the 'CoronaNet' dataset provides the most comprehensive and granular documentation of such government policies in the world, capturing data for 20 broad policy categories alongside many other dimensions, including the initiator, target, and timing of a policy. This package is a programmatic front-end to up-to-date 'CoronaNet' policy records and the 'CoronaNet' policy intensity index scores. For more information, see Cheng et al. (2020) <doi:10.1038/s41562-020-0909-7>.
Version: | 0.3.0 |
Depends: | R (≥ 2.10), httr, R.utils |
Imports: | readr |
Suggests: | rmarkdown, knitr |
Published: | 2023-02-08 |
DOI: | 10.32614/CRAN.package.CoronaNetR |
Author: | Timothy A. Model [aut],
Robert Kubinec |
Maintainer: | Robert Kubinec <rmk7 at nyu.edu> |
BugReports: | https://github.com/CoronaNetDataScience/CoronaNetR/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/CoronaNetDataScience/CoronaNetR |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README |
CRAN checks: | CoronaNetR results |
Reference manual: | CoronaNetR.pdf |
Vignettes: |
package_introduction |
Package source: | CoronaNetR_0.3.0.tar.gz |
Windows binaries: | r-devel: CoronaNetR_0.3.0.zip, r-release: CoronaNetR_0.3.0.zip, r-oldrel: CoronaNetR_0.3.0.zip |
macOS binaries: | r-release (arm64): CoronaNetR_0.3.0.tgz, r-oldrel (arm64): CoronaNetR_0.3.0.tgz, r-release (x86_64): CoronaNetR_0.3.0.tgz, r-oldrel (x86_64): CoronaNetR_0.3.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=CoronaNetR to link to this page.
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.