Matching on Generalized Propensity Scores with Continuous Exposures R package CausalGPS version 0.5.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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. Software 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 Naeem Khoshnevis <nkhoshnevis@g.harvard.edu> Comprehensive R Archive Network (CRAN) Naeem Khoshnevis [aut, cre] (ORCID: <https://orcid.org/0000-0003-4315-1426>, AFFILIATION: Kempner), Xiao Wu [aut] (ORCID: <https://orcid.org/0000-0002-4884-657X>, AFFILIATION: CUMC), Danielle Braun [aut] (ORCID: <https://orcid.org/0000-0002-5177-8598>, AFFILIATION: HSPH) GPL-3 2026-01-11 application/tgz https://CRAN.R-project.org/package=CausalGPS doi:10.32614/CRAN.package.CausalGPS en-US