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
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 ORCID iD [aut, cre] (Kempner), Xiao Wu ORCID iD [aut] (CUMC), Danielle Braun ORCID iD [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

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