forked from NSAPH/GPSmatching
/
DESCRIPTION
executable file
·59 lines (59 loc) · 1.76 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
Package: CausalGPS
Type: Package
Title: Matching on generalized propensity scores with continuous exposures
Version: 0.2.4
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: An R package for implementing matching on generalized propensity
scores with continuous exposures. We developed an innovative approach for
estimating causal effects using observational data in settings with
continuous exposures, and introduce a new framework for GPS caliper matching.
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
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,
glue,
Rcpp,
gnm,
tidyr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests:
knitr,
rmarkdown,
testthat
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
Depends:
R (>= 3.5.0)
LinkingTo:
Rcpp