The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The GDELT V1 Event data set is over 41 GB now and growing 250 MB a month. The number of source articles has increased over time and unevenly across countries. This package makes it easy to download a subset of that data, then normalize that data to facilitate valid time series analysis.
Version: | 1.7 |
Depends: | R (≥ 4.0), utils |
Imports: | plyr, dplyr, datetimeutils, stringr |
Suggests: | testthat |
Published: | 2023-09-29 |
DOI: | 10.32614/CRAN.package.GDELTtools |
Author: | Stephen R. Haptonstahl, Thomas Scherer, Timo Thoms, and Patrick Wheatley |
Maintainer: | Stephen R. Haptonstahl <srh at haptonstahl.org> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | GDELTtools results |
Reference manual: | GDELTtools.pdf |
Package source: | GDELTtools_1.7.tar.gz |
Windows binaries: | r-devel: GDELTtools_1.7.zip, r-release: GDELTtools_1.7.zip, r-oldrel: GDELTtools_1.7.zip |
macOS binaries: | r-release (arm64): GDELTtools_1.7.tgz, r-oldrel (arm64): GDELTtools_1.7.tgz, r-release (x86_64): GDELTtools_1.7.tgz, r-oldrel (x86_64): GDELTtools_1.7.tgz |
Old sources: | GDELTtools archive |
Please use the canonical form https://CRAN.R-project.org/package=GDELTtools 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.
Health stats visible at Monitor.