lmw: Linear Model Weights

Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2023) <doi:10.1093/biomet/asac058> where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.

Version: 0.0.2
Depends: R (≥ 3.5.0)
Imports: chk (≥ 0.9.1), sandwich (≥ 3.0-2), backports (≥ 1.4.1)
Suggests: MatchIt (≥ 4.3.2), WeightIt (≥ 0.14.2), marginaleffects (≥ 0.17.0), PSweight (≥ 1.1.8), estimatr, lmtest, ivreg, mlogit, testthat (≥ 3.0.0)
Published: 2024-02-08
DOI: NA
Author: Ambarish Chattopadhyay ORCID iD [aut], Noah Greifer ORCID iD [aut, cre], Jose Zubizarreta ORCID iD [aut]
Maintainer: Noah Greifer <ngreifer at iq.harvard.edu>
BugReports: https://github.com/ngreifer/lmw/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ngreifer/lmw
NeedsCompilation: no
Materials: NEWS
CRAN checks: lmw results

Documentation:

Reference manual: lmw.pdf

Downloads:

Package source: lmw_0.0.2.tar.gz
Windows binaries: r-devel: lmw_0.0.2.zip, r-release: lmw_0.0.2.zip, r-oldrel: lmw_0.0.2.zip
macOS binaries: r-release (arm64): lmw_0.0.2.tgz, r-oldrel (arm64): lmw_0.0.2.tgz, r-release (x86_64): lmw_0.0.2.tgz, r-oldrel (x86_64): lmw_0.0.2.tgz
Old sources: lmw archive

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