cstar-package:
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 |
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License: |
| GPL-2 |
References
Esarey and Danneman (2014). A Quantitative Method for Substantive Robustness Assessment. Political Science Research and Methods.