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optinterv  

Optimal Intervention
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]
All associated links for this package
First Published: 2020-03-19
Latest Update: 2020-03-19
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 30 Jan. 2025.
Previous versions and publish date:
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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