Repository for package accompanying paper "Explaining Recruitment to Extremism: A Bayesian Hierarchical Case-Control Approach."
The goal of this package is to make it easy for the user to:
- Prepare data for estimation procedure (
data.prep()
) - Estimate Bayesian case-control models (
fit()
)
You can begin using the package by loading into memory using:
devtools::install_github("cjbarrie/extremeR")
library(extremeR)
There are two principal extremeR
functions.
- Preparing the data is achieved with
data.prep()
, which allows the user to bundle the main relevant data source (case-control data and shapefile data) into a list object for estimation. - Estimating models with different specifications is achieved with
fit()
, which allows the user to estimate models described in the associated article, and to specify hierarchical structure, priors, contamination layer etc.