FEAR:  Frontier Efficiency Analysis with R

Paul W. Wilson

Professor, Department of Economics
and School of Computing
228 Sirrine Hall
Clemson University
Clemson, South Carolina  29634  USA



FEAR consists of a software library that can be linked to the general-purpose statistical package R. The routines included in FEAR allow the user to compute, among other things, nonparametric estimates of technical, allocative, and overall efficiency while assuming either variable, non-increasing, or constant returns to scale. The routines are highly flexible, allowing measurement of efficiency of one group of observations relative to a technology defined by a second, reference group of observations. Consequently, the routines can be used to compute estimates of Malmquist indices, scale efficiency measures, super-efficiency scores, and other measures that might be of interest.

Before using FEAR, one must download and install R. The R installation program and documentation for R can be found at the R website. R is distributed under the GNU General Public License Version 2.

FEAR is distributed under the license that appears in the file named "LICENSE" that is part of the FEAR package; click here to see the license before downloading the software or documentation. Downloading the FEAR software or documentation constitutes acceptance of the terms and conditions in the license.


The current version of FEAR is 2.0 (23 July 2013); versions are available for 32-bit/64-bit Windows, 64-bit Linux, and 64-bit Mac OS X. I doubt anyone still uses 32-bit Linux, but if you do and need to use FEAR on such a system, let me know.

Click on the links below to download:

Many thanks to all who have suggested changes, etc.!