This repository contains code and data for the preprint Multiverse analysis for dynamic network models: Investigating the influence of plausible alternative modeling choices (Siepe& Heck, 2023). Start the .Rproj var-compare.Rproj prior to running the scripts. We used the renv package to create a reproducible environment; more information is contained in the corresponding folder.
Full results of the multiverse analyses are too large and can be requested from the corresponding author. However, we provide all summaries of results necessary to reproduce our analyses in the output/ folder.
Contains the fitted models for the reference analysis, as well as detrended vs. non-detrended results. The raw data can be obtained from the original publications which are linked in the preprint.
Contains the summarized results of both the multiverse analyses as well as the supplementary simulation study.
Contains all scripts needed to reproduce the results. The main analysis script is gimme-multiverse.Rmd. aux_funs.R contains all auxiliary functions used.
The mv-gimme fork of the gimme package used for the multiverse analyses can be found in another GitHub repository.
Please note that the package is not actively maintained and may not be up to date with the original gimme package. I am happy to help if you would like to use the package for your own multiverse analysis or simulation study.
There are multiple ways to run this shiny app. The easiest way is to use the version that is hosted online here.
Another possibility is to use the shiny package in R:
library(shiny)
runGitHub(repo = "network-multiverse",
username = "bsiepe",
ref = "main",
subdir = "shiny-app")
Alternatively, you can clone the GitHub repository, navigate to the file shiny-app/app.R and use:
shiny::runApp()
If you happen to have any problems with the code or any suggestions for further improvement, feel free to contact me via the email listed in my GitHub account.