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PhilippKronenberg/replication_package_news_based_multidimensional_political_instability

Domain:

peace and security

Record type:

paper
Creator:
Phi
Host:
This repository is a replication package for the paper "News-Based Multidimensional Political Instability in West and Central Africa" # Replication Package: News-Based Multidimensional Political Instability ## Overview This repository is the formal replication package for the paper on news-based multidimensional political instability in West and Central Africa. The package contains the code, data, and manuscript-facing outputs required for the documented replication workflow. The canonical entrypoints are: - `Code/main.R` for the R workflow - `Code/run_all.m` for the MATLAB workflow ## Folder Structure ```text replication_package_news_based_multidimensional_political_instability/ ├── README.md ├── LICENSE ├── Code/ │ ├── main.R │ ├── run_all.m │ ├── 1_read_data.R │ ├── 2_data_preparation.R │ ├── 3_benchmark_data.R │ ├── functions.R │ ├── helpers.R │ ├── figure_code/ │ └── external/ ├── Data/ │ ├── Raw/ │ │ ├── public/ │ │ └── restricted/ │ └── Derived/ └── Outputs/ ├── Main/ │ ├── Figures/ │ └── Tables/ └── Annex/ ├── Figures/ └── Tables/ ``` ## Requirements - R version `4.5.2` - Python version `3.14.4` - MATLAB release `R2025a` - R packages used in the scripts under `Code/`: `countrycode`, `dplyr`, `geomtextpath`, `ggplot2`, `ggpubr`, `haven`, `jsonlite`, `lubridate`, `purrr`, `readr`, `readxl`, `rnaturalearth`, `rnaturalearthdata`, `scales`, `sf`, `stringr`, `tidyr`, `tidyverse`, `xtable`, and `zoo` These do not have to be installed by hand. `Code/main.R` loads the full list through `ensure_packages()` in `Code/helpers.R` and installs whatever is missing from CRAN; every individual script does the same for the subset it needs, so the scripts can also be run one at a time. To install nothing automatically, set the environment variable `NBS_INSTALL_MISSING=FALSE` before running — the scripts then stop with an error listing the packages to install manually. - Sufficient local storage for the bundled raw inputs and derived files Runtime: Verified on `2026-05-04`: `Code/main.R` completed successfully in approximately 9 minutes on the local machine used for …

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