Publications by rOpenSci - open tools for open science

Dynamite for Causal Inference from Panel Data using Dynamic Multivariate Panel Models

30.01.2023

Introduction Panel data contains measurements from multiple subjects measured over multiple time points. Such data can be encountered in many social science applications such as when analysing register data or cohort studies (for example). Often the aim is to perform causal inference based on such observational data (instead of randomized control...

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Improved permanent URL schema for r-universe.dev

29.01.2023

This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post updates to document features and technical details. For more information, visit the r-universe project ...

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rOpenSci News Digest, January 2023

19.01.2023

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 {targets} in Action Community Call Tuesday, 31 January 2023 20:00 UTC / Tuesday, 31 January 2023 15:00 EST / Wednesday, 1st February 07:00 AEDT. The {targets} package is a pi...

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Expanding our Community through Multilingual Publishing

11.01.2023

We are excited to announce that, with the support of the Chan Zuckerberg Initiative, NumFOCUS, and the R Consortium, we have begun the process of translating rOpenSci’s materials on best practices for software development, code review, and contribution to open source projects into Spanish. As part of this effort, we are also developing guidelin...

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{targets} in Action

05.01.2023

How to join this free online event with Will Landau, Eric Scott and Joel Nitta. The {targets} package is a pipeline tool for Statistics and data science in R. With {targets}, you can maintain a reproducible workflow without repeating yourself. {targets} learns how your pipeline fits together, skips costly runtime for tasks that are already up to ...

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Interesting Uses of censo2017 a Year After Publishing

18.10.2022

See the Spanish version of this blog post: Usos Interesantes de censo2017 un Año Después de su Publicación Summary This post is about the surprising uses I’ve noticed and the questions about the censo2017 R package, a tool for accessing the Chilean census 2017 data, I’ve gotten since it was peer-reviewed through rOpenSci one year ago. The...

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Usos interesantes de censo2017 un año después de su publicación

18.10.2022

Vea la versión en inglés de esta entrada del blog: Interesting Uses of censo2017 a Year After Publishing Resumen Este artículo trata sobre los usos sorprendentes que he observado y las preguntas que recibo sobre el paquete R censo2017, una herramienta para acceder a los datos del censo chileno de 2017, que he recibido desde que fue revisado p...

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Become a Mentor for rOpenSci Champions!

20.10.2022

rOpenSci is seeking mentors to support our inaugural cohort of rOpenSci Champions! The rOpenSci Champions Program is for people from historically and systematically excluded groups who are interested in contributing to rOpenSci and the broader ecosystem of open source and open science communities. After receiving training, mentors will work with ...

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rOpenSci News Digest, October 2022

20.10.2022

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 rOpenSci Champions Program: call for Champions and call for Mentors The rOpenSci Champions Program is part of a series of activities and projects we are carrying out to ensur...

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Our First Peer-Reviewed Statistical R Packages!

30.11.2022

rOpenSci is very excited to announce our first peer-reviewed statistical R packages! One of rOpenSci’s core programs is software peer-review, where we use best practices from software engineering and academic peer-review to improve scientific software. Through this, we aim to make scientific software more robust, usable, and trustworthy, and bu...

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