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peacesciencer: Tools and Data for Quantitative Peace Science Research
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: |
1.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
magrittr, dplyr, geosphere, tidyr, stringr, rlang, stevemisc (≥ 1.6.0), lifecycle |
| Suggests: |
countrycode, tibble, testthat, knitr, rmarkdown |
| Published: |
2023-03-24 |
| DOI: |
10.32614/CRAN.package.peacesciencer |
| 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 |
| Citation: |
peacesciencer citation info |
| Materials: |
README NEWS |
| CRAN checks: |
peacesciencer results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=peacesciencer
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.