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hettreatreg
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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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
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Functions, R codes and Examples using
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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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