asymmetric: A package for analyzing asymmetric hypotheses.

Abstract:

asymmetric is an R package that enables researchers to estimate data boundaries when studying asymmetric hypotheses. The package includes various techniques for estimating boundaries such as stochastic frontier analysis, quantile regression, and kernel estimation; it also includes a method for testing whether data are asymmetric (Area Outside the Curve).  In addition, a function for calculating confidence intervals via a resampling technique is provided. The package implements methods described in Rosenberg, Knuppe, and Braumoeller (2017) "Unifying the Study of Asymmetric Hypotheses." Political Analysis, Forthcoming.

Source Code:

The source code is available for download from the GitHub repository.

Installation:

The software can be downloaded and installed from the GitHub repository by running the following commands:

library(devtools)
install_github("asrosenberg/asymmetric-package")