Package: hettreatreg
Type: Package
Title: Heterogeneous Treatment Effects in Regression Analysis
Version: 0.1.0
Authors@R: c(
    person("Tymon", "Sloczynski", role = c("aut"), email = "tslocz@brandeis.edu"),
    person("Mark", "McAvoy", role = c("cre"), email = "mcavoy@brandeis.edu"))
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), <http://people.brandeis.edu/~tslocz/Sloczynski_paper_regression.pdf>.
URL: https://github.com/tslocz/hettreatreg
Depends: R (>= 3.1)
Imports: stats
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-11 17:27:20 UTC; Maple
Author: Tymon Sloczynski [aut],
  Mark McAvoy [cre]
Maintainer: Mark McAvoy <mcavoy@brandeis.edu>
Repository: CRAN
Date/Publication: 2020-05-13 14:50:10 UTC
Built: R 4.6.0; ; 2026-04-25 19:30:31 UTC; unix
