I simply opened the paper's Code Ocean container, read the "README.md" file and ran the "manuscript.Rmd" using the built-in function in Code Ocean. This created a pdf, which, content-wise, is presumably equivalent to the the published paper. I compared all numerical estimates, tables and figures presented in the published article (excluding the supplementary material) and in this pdf. Everything matched.
Although I had a decent amount of experience with R and R Markdown, I had never used Code Ocean. Code Ocean required signing up and logging in, but otherwise, it was straightforward to run the code and obtain all the results.
Simply logged into the Code Ocean container
The documentation provided in the OSF project was clear enough to get me to the Code Ocean container. Once in the Code Ocean container, the simple documentation provided in the "README.md" file was enough for me to reproduce the entire pdf with two clicks.
Simple and to the point.
The approach of using the Code Ocean container is great to reproduce the results, however, it also means that if someone is simply trying to reproduce the results without looking at any of the provided files (data, scripts, etc.), this person would have no understanding of what is behind the scenes. Said that, the authors provided all the necessary files, and the Rmd file with all the text and inline comments makes everything clear and transparent.
The MIT License of the code misses year and full name, which makes me wonder about the full reusability of the code.
Although I downloaded the "manuscript.Rmd" to my laptop and explored it superficially, I did not attempt to run it from my laptop. However, since the authors are using and Rmd file with the paper's text and plenty of inline comments, code reusability seems pretty high. In my opinion, the authors have made a great job in making their study reproducible, and I would like to congratulate them for such effort.