Since it is possible again to run NetLogo models in your browser, I would like to publish one of my good old NetLogo models: Vulnerability to Depression. The nice thing about it is that you can play around and let the model run while adjusting several things. For example, you can adjust the connection strength, you can exert stress on the network, and you can apply a ‘shock’ to the system as if you are administering electroconvulsive therapy. On the Model Info page (see the tab at the bottom), you can find a lot of info and suggestions to explore this model. Especially the hysteresis effect is worth exploring. You can find a link to the model here. Have fun!
The NetworkComparisonTest package has now been updated on GitHub (link here) to version 2.1.1. In this new version, I added an argument “p.adjust.methods”. With this argument you can specify how to control for multiple edge testing to control type I error. You can choose one of “holm”, “hochberg”, “hommel”, “bonferroni”, “BH”, “BY”, “fdr”, or “none”. If you do not specify this argument, it uses the default “none”.
In the older version, a Holm-Bonferroni correction was applied. However, when doing exploratory analyses, one might be interested in the uncorrected p-values. If you are doing hypothesis testing, you can now choose your own method of correction. See the help page of the p.adjust() function in R for more information about the different methods.
If you encounter problems or bugs, please let me know: firstname.lastname@example.org. I will upload the new version to CRAN soon.
Finished my PhD! 🙂