The R Journal: article published in 2014, volume 6:1

investr: An R Package for Inverse Estimation
Brandon M. Greenwell and Christine M. Schubert Kabban , The R Journal (2014) 6:1, pages 90-100.

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 paper1 , we introduce investr (which stands for inverse estimation in R), a package for solving inverse estimation problems in both linear and nonlinear regression models.

Received: 2013-09-27; online 2014-05-27
CRAN packages: investr, MASS, drc, car, boot
CRAN Task Views implied by cited CRAN packages: Econometrics, SocialSciences, ChemPhys, Multivariate, Pharmacokinetics, Distributions, Environmetrics, Finance, NumericalMathematics, Optimization, Psychometrics, Robust, Survival, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2014-009,
  author = {Brandon M. Greenwell and Christine M. Schubert Kabban},
  title = {{investr: An R Package for Inverse Estimation}},
  year = {2014},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2014-009},
  url = {https://doi.org/10.32614/RJ-2014-009},
  pages = {90--100},
  volume = {6},
  number = {1}
}