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WeightIt: Weighting for Covariate Balance in Observational Studies

Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.

Version: 1.3.2
Depends: R (≥ 4.0.0)
Imports: cobalt (≥ 4.5.1), ggplot2 (≥ 3.3.0), chk (≥ 0.9.2), rlang (≥ 1.1.0), crayon (≥ 1.3.4), generics, utils, stats
Suggests: rootSolve (≥ 1.8.2.4), CBPS (≥ 0.18), optweight (≥ 0.2.4), SuperLearner (≥ 2.0-25), mclogit, MNP (≥ 3.1-4), brglm2 (≥ 0.5.2), enrichwith (≥ 0.3.1), logistf (≥ 1.26.0), osqp (≥ 0.6.0.5), survival (≥ 3.6-2), fwb (≥ 0.2.0), splines, marginaleffects (≥ 0.19.0), sandwich, MASS, gbm (≥ 2.1.3), dbarts (≥ 0.9-20), misaem (≥ 1.0.1), mlogit, dfidx, broom, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-11-05
DOI: 10.32614/CRAN.package.WeightIt
Author: Noah Greifer ORCID iD [aut, cre]
Maintainer: Noah Greifer <noah.greifer at gmail.com>
BugReports: https://github.com/ngreifer/WeightIt/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://ngreifer.github.io/WeightIt/, https://github.com/ngreifer/WeightIt
NeedsCompilation: no
Materials: README NEWS
In views: CausalInference
CRAN checks: WeightIt results

Documentation:

Reference manual: WeightIt.pdf
Vignettes: Using WeightIt to Estimate Balancing Weights (source)
Estimating Effects After Weighting (source)
Installing Supporting Packages (source)

Downloads:

Package source: WeightIt_1.3.2.tar.gz
Windows binaries: r-devel: WeightIt_1.3.2.zip, r-release: WeightIt_1.3.2.zip, r-oldrel: WeightIt_1.3.2.zip
macOS binaries: r-release (arm64): WeightIt_1.3.2.tgz, r-oldrel (arm64): WeightIt_1.3.2.tgz, r-release (x86_64): WeightIt_1.3.2.tgz, r-oldrel (x86_64): WeightIt_1.3.2.tgz
Old sources: WeightIt archive

Reverse dependencies:

Reverse imports: CIMTx, MatchThem, mvGPS
Reverse suggests: adjustedCurves, cobalt, fullRankMatrix, insight, jointVIP, lmw, parameters, psborrow2, sim.BA

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.