cstar-package {cstar}R Documentation

Functions to examine the substantive robustness of regression-based results.

Description

Researchers care not only about the statistical significance of results, but also their substantive significance. This package implements a set of tools that allow researchers to use Bayesian decision-theoretic techniques set out in Esarey and Danneman (2014) to determine the substantive robustness of regression-based results. Specifically, given a set of regression results, a researcher can determine the minimum substantively meaningful relationship supported by his or her evidence under a variety levels of risk aversion.

Details

Package: cstar
Type: Package
Version: 1.0
Date: 2014-05-13
License: GPL-2

Author(s)

Justin Esarey Maintainer: Justin Esarey <justin@justinesarey.com>

References

Esarey and Danneman (2014). A Quantitative Method for Substantive Robustness Assessment. Political Science Research and Methods.


[Package cstar version 1.0 Index]