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CoronaNetR: API Access to 'CoronaNet' Data

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
Author: Timothy A. Model [aut], Robert Kubinec ORCID iD [aut, cre]
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

Documentation:

Reference manual: CoronaNetR.pdf
Vignettes: package_introduction

Downloads:

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

Linking:

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.
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