Package: hettreatreg 0.1.0

Mark McAvoy

hettreatreg: Heterogeneous Treatment Effects in Regression Analysis

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>.

Authors:Tymon Sloczynski [aut], Mark McAvoy [cre]

hettreatreg_0.1.0.tar.gz
hettreatreg_0.1.0.zip(r-4.5)hettreatreg_0.1.0.zip(r-4.4)hettreatreg_0.1.0.zip(r-4.3)
hettreatreg_0.1.0.tgz(r-4.5-any)hettreatreg_0.1.0.tgz(r-4.4-any)hettreatreg_0.1.0.tgz(r-4.3-any)
hettreatreg_0.1.0.tar.gz(r-4.5-noble)hettreatreg_0.1.0.tar.gz(r-4.4-noble)
hettreatreg_0.1.0.tgz(r-4.4-emscripten)hettreatreg_0.1.0.tgz(r-4.3-emscripten)
hettreatreg.pdf |hettreatreg.html
hettreatreg/json (API)

# Install 'hettreatreg' in R:
install.packages('hettreatreg', repos = c('https://tslocz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tslocz/hettreatreg/issues

Datasets:
  • nswcps - National Supported Work - Current Population Survey

On CRAN:

Conda:

3.70 score 10 stars 8 scripts 132 downloads 1 exports 0 dependencies

Last updated 5 years agofrom:478954c678. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winNOTEMar 30 2025
R-4.5-macNOTEMar 30 2025
R-4.5-linuxNOTEMar 30 2025
R-4.4-winNOTEMar 30 2025
R-4.4-macNOTEMar 30 2025
R-4.4-linuxNOTEMar 30 2025
R-4.3-winNOTEMar 30 2025
R-4.3-macNOTEMar 30 2025

Exports:hettreatreg

Dependencies: