[aut, cre]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: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lubridate, magrittr, dplyr, tibble, geosphere, countrycode, tidyr, stringr, rlang |
| Suggests: | testthat |
| Published: | 2020-12-19 |
| Author: | Steve Miller
[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 |
| Reference manual: | peacesciencer.pdf |
| Package source: | peacesciencer_0.1.0.tar.gz |
| Windows binaries: | r-devel: peacesciencer_0.1.0.zip, r-release: peacesciencer_0.1.0.zip, r-oldrel: peacesciencer_0.1.0.zip |
| macOS binaries: | r-release: peacesciencer_0.1.0.tgz, r-oldrel: peacesciencer_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=peacesciencer to link to this page.