optinterv: Optimal Intervention

Provides both parametric and non-parametric estimates of the correlates of some desired outcome (e.g. test scores, income) using a new method proposed by Danieli, Devi and Fryer (2019). This method relaxes the assumption that one can alter individual characteristics in any way the data suggest is optimal, and so can be used anytime one wants to use observational data to better optimize social experiments designed to increase some desired outcome.

Package details

AuthorElad Guttman [aut, cre], Oren Danieli [aut]
MaintainerElad Guttman <eladguttman@mail.tau.ac.il>
LicenseGPL-3
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("optinterv")

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optinterv documentation built on March 26, 2020, 7:05 p.m.