README.md

In cjbarrie/extremeR: A Bayesian Hierarchical Case-Control Method for Analyzing Extreme Behavior

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

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.

cjbarrie/extremeR documentation built on April 14, 2023, 9:26 p.m.