peacesciencer: Various Tools and Data for Quantitative Peace Science

These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: lubridate, magrittr, dplyr, geosphere, tidyr, stringr, rlang
Suggests: countrycode, tibble, testthat, knitr, rmarkdown
Published: 2021-04-28
Author: Steve Miller ORCID iD [aut, cre]
Maintainer: Steve Miller <steven.v.miller at gmail.com>
BugReports: https://github.com/svmiller/peacesciencer/issues/
License: GPL-2
URL: https://github.com/svmiller/peacesciencer
NeedsCompilation: no
Materials: README NEWS
CRAN checks: peacesciencer results

Downloads:

Reference manual: peacesciencer.pdf
Package source: peacesciencer_0.3.0.tar.gz
Windows binaries: r-devel: peacesciencer_0.3.0.zip, r-release: peacesciencer_0.3.0.zip, r-oldrel: peacesciencer_0.3.0.zip
macOS binaries: r-release: peacesciencer_0.3.0.tgz, r-oldrel: peacesciencer_0.3.0.tgz
Old sources: peacesciencer archive

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