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 [aut, cre] (AFFILIATION: Kempner), Xiao Wu [aut] (AFFILIATION: CUMC), Danielle Braun [aut] (AFFILIATION: HSPH) Maintainer: Naeem Khoshnevis <nkhoshnevis at g.harvard.edu> 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: Reference manual: CausalGPS.pdf Vignettes: CausalGPS (source, R code)Please use the canonical form https://CRAN.R-project.org/package=CausalGPS to link to this page.
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