CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
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., 2018. Matching on generalized propensity scores with continuous exposures. arXiv preprint <arXiv:1812.06575>.
| Version: | 0.2.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | parallel, data.table, SuperLearner, xgboost, earth, ranger, gam, KernSmooth, MASS, polycor, wCorr, stats, ggplot2, rlang, logger, Rcpp, gnm, tidyr |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2021-09-06 |
| Author: | Naeem Khoshnevis 
[aut, cre] (FASRC),
Xiao Wu [aut]
(HSPH),
Danielle Braun
[aut] (HSPH) |
| Maintainer: | Naeem Khoshnevis <nkhoshnevis at g.harvard.edu> |
| BugReports: | https://github.com/fasrc/CausalGPS/issues |
| License: | GPL-3 |
| Copyright: | Harvard University |
| URL: | https://github.com/fasrc/CausalGPS |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | CausalGPS citation info |
| Materials: | README NEWS |
| CRAN checks: | CausalGPS results |
Documentation:
| Reference manual: | CausalGPS.pdf |
| Vignettes: |
CausalGPS contribution estimating_gps faq generating_pseudo_population generate_synthetic_data notes_on_sl_wrapper outcome_models testing_the_package |
Downloads:
| Package source: | CausalGPS_0.2.6.tar.gz |
| Windows binaries: | r-devel: CausalGPS_0.2.6.zip, r-devel-UCRT: CausalGPS_0.2.6.zip, r-release: CausalGPS_0.2.6.zip, r-oldrel: CausalGPS_0.2.6.zip |
| macOS binaries: | r-release (arm64): CausalGPS_0.2.6.tgz, r-release (x86_64): CausalGPS_0.2.6.tgz, r-oldrel: CausalGPS_0.2.6.tgz |
| Old sources: | CausalGPS archive |
Linking:
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