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Package: CausalGPS
Type: Package
Title: Matching on Generalized Propensity Scores with Continuous Exposures
Version: 0.2.6
Authors@R: c(
person("Naeem", "Khoshnevis", email = "nkhoshnevis@g.harvard.edu",
role=c("aut","cre"),
comment = c(ORCID = "0000-0003-4315-1426", AFFILIATION="FASRC")),
person("Xiao", "Wu", email = "wuxiao@g.harvard.edu",
role= c("aut"),
comment = c(ORCID = "0000-0002-4884-657X", AFFILIATION="HSPH")),
person("Danielle","Braun", email = "dbraun@hsph.harvard.edu",
role=c("aut"),
comment = c(ORCID = "0000-0002-5177-8598", AFFILIATION="HSPH")))
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
Description: 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>.
License: GPL-3
Language: en-US
URL: https://github.com/fasrc/CausalGPS
BugReports: https://github.com/fasrc/CausalGPS/issues
Copyright: Harvard University
Imports:
parallel,
data.table,
SuperLearner,
xgboost,
earth,
ranger,
gam,
KernSmooth,
MASS,
polycor,
wCorr,
stats,
ggplot2,
rlang,
logger,
Rcpp,
gnm,
tidyr
Encoding: UTF-8
RoxygenNote: 7.1.1
Suggests:
knitr,
rmarkdown,
testthat
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
Depends:
R (>= 3.5.0)
LinkingTo:
Rcpp