investr: An R Package for Inverse Estimation

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Authors Brandon M. Greenwell, Christine M. Schubert Kabban
Journal/Conference Name The R Journal
Paper Category
Paper 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
Date of publication 2014
Code Programming Language R
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