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 ORCID iD [aut, cre] (FASRC), Xiao Wu ORCID iD [aut] (HSPH), Danielle Braun ORCID iD [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

Downloads:

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
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

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