Home

Snapshots

Changelog

Highlights

WeightIt

Weighting for Covariate Balance in Observational Studies

Generates weights to form equivalent groups in observational studies with point or longitudinal treatments by easing and extending the functionality of the R packages 'twang' for generalized boosted modeling (McCaffrey, Ridgeway & Morral, 2004) <doi:10.1037/1082-989X.9.4.403>, 'CBPS' for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) <doi:10.1111/rssb.12027>, 'ebal' for entropy balancing (Hainmueller, 2012) <doi:10.1093/pan/mpr025>, 'optweight' for optimization-based weights (Zubizarreta, 2015) <doi:10.1080/01621459.2015.1023805>, 'ATE' for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) <doi:10.1111/rssb.12129>, and 'SuperLearner' for stacked machine learning-based propensity scores (Pirracchio, Petersen, & van der Laan, 2015) <doi:10.1093/aje/kwu253>. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt'.

Tests Vignettes

Available Snapshots

This version of WeightIt can be found in the following snapshots:

Dependencies

Imports/Depends/LinkingTo/Enhances (7)
  • R
  • cobalt >= 4.5.1
  • ggplot2 >= 3.3.0
  • chk >= 0.9.2
  • rlang >= 1.1.0
  • crayon >= 1.3.4
  • generics
    • Suggests (22)
  • 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
  • osqp >= 0.6.0.5
  • fwb
  • marginaleffects
  • sandwich
  • gbm >= 2.1.3
  • dbarts >= 0.9-20
  • misaem >= 1.0.1
  • mlogit
  • dfidx
  • broom
  • knitr
  • rmarkdown
  • testthat >= 3.0.0

    • Version History