Followed link on PsyArXiv to https://osf.io/mvdpe/, there download of zip-file containing all files (preprint itself, data, code, figures etc.)
very familiar with R :)
sessionInfo() R version 4.2.0 (2022-04-22 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19043)
other attached packages: lm.beta_1.6-2, summarytools_1.0.1 tidyselect_1.1.2, tidyr_1.2.0, lme4_1.1-30, Matrix_1.4-1, viridis_0.6.2, viridisLite_0.4.0, reshape_0.8.9, bootnet_1.5, qgraph_1.9.2, mlVAR_0.5, dplyr_1.0.9, ggplot2_3.3.6
No main challenges as the files, the folder structure, the names of files and folders are very clear. The one main point are missing data for fitting the mlVAR network models (orthogonal and correlated estimation).
Folder structure, the names of files and folders are very clear.
It would be helpful to write a README to give general information.
Generally, version numbers of packages should be given. I suggest to use session.Info().
Even though folders and files are clearly organized, it would be helpful to "adjust" the code more to the final paper, i.e. figure numbers in the paper could be given in the code.
Clearly organized files and code.
CC-By Attribution 4.0 International
I thank the authors very much for contributing their paper to ReproHack. I enjoyed reading the paper and reproducing the data analysis.