The GDELT data set is over 60 GB now and growing 100 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.

Documentation

Manual: GDELTtools.pdf
Vignette: None available.

Maintainer: Stephen R. Haptonstahl <srh at haptonstahl.org>

Author(s): Stephen R. Haptonstahl, Thomas Scherer, Timo Thoms, and Patrick Wheatley

Install package and any missing dependencies by running this line in your R console:

install.packages("GDELTtools")

Depends R (>= 2.10), tools
Imports plyr, TimeWarp
Suggests testthat
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Package GDELTtools
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Version 1.2
Published 2014-02-27
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks GDELTtools check results
Package source GDELTtools_1.2.tar.gz