- A new package
v1.0.0) is on CRAN.
- A new version (
dvnis on CRAN. See release notes for changes. Repository on GitHub.
- A new version (
taxizeis on CRAN. Note that you now need an API key when using some IUCN functions, see docs and release notes. See release notes for changes. Repository on GitHub.
We accept community contributed packages via our onboarding system - a software review system, sorta like scholarly paper review, but way better. We’ll highlight new pacakages here that have come through this system. A huge thanks to our reviewers, who do a lot of work reviewing (see the blog post on our review system), and the authors of the packages!
The following are rOpenSci packages that have recently gone through our onboarding process:
Four recent papers cite and/or use rOpenSci software (or reference rOpenSci):
- Olson et al. cite rOpenSci in their paper Drivers of emerging infectious disease events as a framework for digital detection 1
- Kamvar et al. cite rOpenSci in their paper Developing educational resources for population genetics in R: an open and collaborative approach 2
- Niedballa et al. cite and use our taxize package in their paper camtrapR: an R package for efficient camera trap data management 3
- Wiser et al. cite and use our taxize package in their paper Achievements and challenges in the integration, reuse and synthesis of vegetation plot data 4
- In a thesis titled Sklapanje genoma ogulinske špiljske spužvice (eunapius subterraneus) iz podataka dobivenih tehnologijom sekvenciranja nanoporama, Dora Šribar cites and uses our taxize package
Keep up with rOpenSci news
There are a number of ways to keep up with what rOpenSci is doing:
- Mailing list: Sign up with an email address to get new blog posts sent to your inbox -> ropensci.org/#subscribe
- rOpenSci on Twitter: we’re @ropensci
- The rOpenSci blog at ropensci.org/blog - you can subscribe in any RSS aggregator, or manually via https://ropensci.org/feed.xml. We also announce new blog posts on our Twitter account.
Olson, S. H., Benedum, C. M., Mekaru, S. R., Preston, N. D., Mazet, J. A. K., Joly, D. O., & Brownstein, J. S. (2015). Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection. Emerging Infectious Diseases, 21(8), 1285–1292. https://doi.org/10.3201/eid2108.141156 ↩
Kamvar, Z. N., López-Uribe, M. M., Coughlan, S., Grünwald, N. J., Lapp, H., & Manel, S. (2016). Developing educational resources for population genetics in R: an open and collaborative approach. Mol Ecol Resour. https://doi.org/10.1111/1755-0998.12558 ↩
Niedballa, J., Sollmann, R., Courtiol, A., & Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.12600 ↩