CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures (original) (raw)
Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Version: | 0.5.0 |
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Depends: | R (≥ 3.5.0) |
Imports: | parallel, data.table, SuperLearner, xgboost, gam, MASS, polycor, wCorr, stats, ggplot2, rlang, logger, Rcpp, gnm, locpol, Ecume, KernSmooth, cowplot |
LinkingTo: | Rcpp |
Suggests: | covr, knitr, rmarkdown, ranger, earth, testthat, gridExtra |
Published: | 2024-06-19 |
DOI: | 10.32614/CRAN.package.CausalGPS |
Author: | Naeem Khoshnevis [aut, cre] (Kempner), Xiao Wu [aut] (CUMC), Danielle Braun [aut] (HSPH) |
Maintainer: | Naeem Khoshnevis |
BugReports: | https://github.com/NSAPH-Software/CausalGPS/issues |
License: | GPL-3 |
Copyright: | Harvard University |
URL: | https://github.com/NSAPH-Software/CausalGPS |
NeedsCompilation: | yes |
Language: | en-US |
Citation: | CausalGPS citation info |
Materials: | README NEWS |
In views: | CausalInference |
CRAN checks: | CausalGPS results |
Documentation:
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