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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 |
| 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 |
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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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