investr: An R Package for Inverse Estimation

Authors

Brandon M. Greenwell, Air Force Institute of Technology
Christine M. Schubert Kabban, Air Force Institute of Technology

Date of this Version

6-2014

Document Type

Article

Citation

The R Journal (June 2014) 6(1); Editor: Deepayan Sarkar

Comments

Copyright 2014, The R Foundation. Open access material. License: CC BY 3.0 Unported

Abstract

Inverse estimation is a classical and well-known problem in regression. In simple terms, it involves the use of an observed value of the response to make inference on the corresponding unknown value of the explanatory variable. To our knowledge, however, statistical software is somewhat lacking the capabilities for analyzing these types of problems. In this paper, we introduce investr (which stands for inverse estimation in R), a package for solving inverse estimation problems in both linear and nonlinear regression models.1