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.


Reference manual

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0.1.0 by Elad Guttman, a year ago

Browse source code at https://github.com/cran/optinterv

Authors: Elad Guttman [aut, cre] , Oren Danieli [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports rootSolve, distances, weights, boot, lattice, pbapply, Hmisc, stats, graphics

Suggests knitr, rmarkdown, testthat

See at CRAN