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Makes research involving EMDAT and related datasets easier. These Datasets are manually filled and have several formatting and compatibility issues. Weed aims to resolve these with its functions.
| Version: | 1.1.2 |
| Imports: | readxl, dplyr, magrittr, tidytext, stringr, tibble, geonames, countrycode, purrr, tidyr, forcats, ggplot2, sf, here |
| Published: | 2023-10-16 |
| DOI: | 10.32614/CRAN.package.weed |
| Author: | Ram Kripa [aut, cre] |
| Maintainer: | Ram Kripa <ram.m.kripa at berkeley.edu> |
| BugReports: | https://github.com/rammkripa/weed/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rammkripa/weed |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | weed results |
| Reference manual: | weed.pdf |
| Package source: | weed_1.1.2.tar.gz |
| Windows binaries: | r-devel: weed_1.1.2.zip, r-release: weed_1.1.2.zip, r-oldrel: weed_1.1.2.zip |
| macOS binaries: | r-release (arm64): weed_1.1.2.tgz, r-oldrel (arm64): weed_1.1.2.tgz, r-release (x86_64): weed_1.1.2.tgz, r-oldrel (x86_64): weed_1.1.2.tgz |
| Old sources: | weed archive |
Please use the canonical form https://CRAN.R-project.org/package=weed 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.