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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., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.

Version: 0.4.2
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: 2024-04-13
Author: Naeem Khoshnevis ORCID iD [aut, cre] (HUIT), Xiao Wu ORCID iD [aut] (CUMC), Danielle Braun ORCID iD [aut] (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
contribution
estimating_gps
faq
generating_pseudo_population
generate_synthetic_data
notes_on_sl_wrapper
outcome_models
Singularity-Image
testing_the_package

Downloads:

Package source: CausalGPS_0.4.2.tar.gz
Windows binaries: r-devel: CausalGPS_0.4.2.zip, r-release: CausalGPS_0.4.2.zip, r-oldrel: CausalGPS_0.4.2.zip
macOS binaries: r-release (arm64): CausalGPS_0.4.2.tgz, r-oldrel (arm64): CausalGPS_0.4.2.tgz, r-release (x86_64): CausalGPS_0.4.2.tgz, r-oldrel (x86_64): CausalGPS_0.4.2.tgz
Old sources: CausalGPS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CausalGPS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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