Package: optinterv
Type: Package
Title: Optimal Intervention
Version: 0.1.0
Authors@R: c(
  person("Elad", "Guttman", role = c("aut", "cre"), email = "eladguttman@mail.tau.ac.il"),
  person("Oren", "Danieli", role = "aut"))
Description: 
  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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rootSolve, distances, weights, boot, lattice, pbapply, Hmisc,
        stats, graphics
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-15 09:54:59 UTC; eladg
Author: Elad Guttman [aut, cre],
  Oren Danieli [aut]
Maintainer: Elad Guttman <eladguttman@mail.tau.ac.il>
Repository: CRAN
Date/Publication: 2020-03-19 16:30:02 UTC
Built: R 4.2.0; ; 2022-04-13 22:19:34 UTC; unix
