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extremeR

Repository for package accompanying paper “Explaining Recruitment to Extremism: A Bayesian Hierarchical Case-Control Approach.”

Overview

The goal of this package is to make it easy for the user to:

  1. Prepare data for estimation procedure (data.prep())
  2. Estimate Bayesian case-control models (fit())

You can begin using the package by loading into memory using:

devtools::install_github("cjbarrie/extremeR")

Getting started

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.