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.

Version: 0.1.0
Imports: rootSolve, distances, weights, boot, lattice, pbapply, Hmisc, stats, graphics
Suggests: knitr, rmarkdown, testthat
Published: 2020-03-19
Author: Elad Guttman [aut, cre], Oren Danieli [aut]
Maintainer: Elad Guttman <eladguttman at mail.tau.ac.il>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: optinterv results


Reference manual: optinterv.pdf
Vignettes: introduction


Package source: optinterv_0.1.0.tar.gz
Windows binaries: r-devel: optinterv_0.1.0.zip, r-release: optinterv_0.1.0.zip, r-oldrel: optinterv_0.1.0.zip
macOS binaries: r-release (arm64): optinterv_0.1.0.tgz, r-oldrel (arm64): optinterv_0.1.0.tgz, r-release (x86_64): optinterv_0.1.0.tgz, r-oldrel (x86_64): optinterv_0.1.0.tgz


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