A lot of what I do as rOpenSci’s community assistant is related to social media.I check for posts about rOpenSci packages, invite people to share usecases,advertise upcoming events, as well as promotingnew packages which completed software peer review.
I’m thrilled to share that CRediTas has passed peer review and been accepted to rOpenSci as well as to CRAN. I am glad to acknowledge the editor Emily Riedered and the two reviewers Marcelo S. Perlin and João Martins. Their comments and support were really insightful. CRediTas is a tiny package to facilitate the tedious job of creating CRediT authors statements for scientific publications.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci! 🔗rOpenSci HQ 🔗Meeting the stars of the R-universe: Athanasia Monika Mowinckel Knowing our community’s stories helps us to learn about the people behind our software, brings us closer and offers us new opportunities.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
We designed the rOpenSci Champions Program with a mentorship aspect. Mentoring plays a significant role in the growth and development of both mentors and mentees alike.
I’m thrilled to share that waywiser, my R package focused on providing framework-agnostic (but tidymodels-friendly) methods for assessing models fit to spatial data 1 , has passed peer review and been accepted to rOpenSci.
🔗How packages appear in r-universe Last month we explained how r-universe makes it easy to search and browse through the countless R packages, articles, and datasets to let you discover and learn new things. We are continuously growing this database by adding more R projects, to guide you through everything the R ecosystem has to offer. Currently r-universe is tracking and indexing of over 18.000 R packages.
