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]

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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'))

Peer review:

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

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

On CRAN:

1 exports 10 stars 1.46 score 0 dependencies 8 scripts 144 downloads

Last updated 4 years agofrom:478954c678. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winNOTEAug 23 2024
R-4.4-macNOTEAug 23 2024
R-4.3-winNOTEAug 23 2024
R-4.3-macNOTEAug 23 2024

Exports:hettreatreg

Dependencies: