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hettreatreg  

Heterogeneous Treatment Effects in Regression Analysis
View on CRAN: Click here


Download and install hettreatreg package within the R console
Install from CRAN:
install.packages("hettreatreg")

Install from Github:
library("remotes")
install_github("cran/hettreatreg")

Install by package version:
library("remotes")
install_version("hettreatreg", "0.1.0")



Attach the package and use:
library("hettreatreg")
Maintained by
Mark McAvoy
[Scholar Profile | Author Map]
First Published: 2020-05-13
Latest Update: 2020-05-13
Description:
Computes diagnostics for linear regression when treatment effects are heterogeneous. The output of 'hettreatreg' represents ordinary least squares (OLS) estimates of the effect of a binary treatment as a weighted average of the average treatment effect on the treated (ATT) and the average treatment effect on the untreated (ATU). The program estimates the OLS weights on these parameters, computes the associated model diagnostics, and reports the implicit OLS estimate of the average treatment effect (ATE). See Sloczynski (2019), .
How to cite:
Mark McAvoy (2020). hettreatreg: Heterogeneous Treatment Effects in Regression Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/hettreatreg. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Complete documentation for hettreatreg
Functions, R codes and Examples using the hettreatreg R package
Some associated functions: hettreatreg . nswcps . 
Some associated R codes: hettreatreg.R . nswcps.R . print.hettreatreg.R .  Full hettreatreg package functions and examples
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