Replication files are available as three Jupyter Notebooks, combining data, program code and output into one file. You can explore them without running them at the Github repository of the paper (https://github.com/mihaicroicu/NonViolentEvents) as well as download and run them from Github.
The three notebooks are:
- One for the analysis concerning Nepal data : https://github.com/mihaicroicu/NonViolentEvents/blob/main/Nepal_submit.ipynb
- One for the analysis concerning the Sudan data : https://github.com/mihaicroicu/NonViolentEvents/blob/main/darfur_submit.ipynb
- One for the Bayesian Change Point analysis : https://github.com/mihaicroicu/NonViolentEvents/blob/main/BayesChangePoint_submit.ipynb
Notebooks 1. and 2. are written in Python, notebook 3. is written in R.
The easiest way to run the three notebooks is installing Anaconda and replicate the two virtual environments the code was created into. To do this, we have provided two environment files, that you can use to install the virtual environments:
replicate.yamlto replicate the Python virtual environment we use.replicate_r.yamlto replicate the R virtual environment we use.
Run, at your prompt, in the directory containing the replication data:
conda env create -f replicate.yaml
conda env create -f replicate_r.yaml
We also provide two yaml environment files for exact environment replication at binary level (replicate_arch.yaml, replicate_r_arch.yaml), but these will only install on OSX versions 10.15+.
When you are done installing this, activate the environment in the folder with the notebooks and run the notebook server:
For the Python notebooks:
conda activate nver && jupyter notebook
For the R notebook:
conda activate r_env && jupyter notebook
A browser will appear. Click the desired notebook, and run it.