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optinterv
View on CRAN: Click
here
Download and install optinterv package within the R console
Install from CRAN:
install.packages("optinterv")
Install from Github:
library("remotes")
install_github("cran/optinterv") Install by package version:
library("remotes")
install_version("optinterv", "0.1.0") Attach the package and use:
library("optinterv")
Maintained by
Elad Guttman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-19
Latest Update:
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.
How to cite:
Elad Guttman (2020). optinterv: Optimal Intervention. R package version 0.1.0, https://cran.r-project.org/web/packages/optinterv. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.1.0 (2020-03-19 17:30)
Other packages that cited optinterv R package
View optinterv citation profile
Other R packages that optinterv depends,
imports, suggests or enhances
Functions, R codes and Examples using
the optinterv R package
Some associated functions: add_sign . boot_ci . boot_default . dev_moments . kl_dist_cor . kl_dist_def . nn . nn_wgt . non_parm . optint . optint_by_group . outcome_diff . par_cor . per_distance . perm_test . plot.optint . plot.optint_by_group . plot_change . summary.optint . var_pos . wgt_adjust . wtd_bin .
Some associated R codes: data_preparation.R . methods.R . optint.R . outputs.R . plot.R . summary.R . Full optinterv package functions and examples
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