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DESCRIPTION
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DESCRIPTION
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Package: tmle3mediate
Title: Targeted Learning for Causal Mediation Analysis
Version: 0.0.3
Authors@R: c(
person("Nima", "Hejazi", email = "[email protected]",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0002-7127-2789")),
person("James", "Duncan", email = "[email protected]",
role = "aut"),
person("David", "McCoy", email = "[email protected]",
role = "aut"),
person("Mark", "van der Laan", email = "[email protected]",
role = c("ctb", "ths"),
comment = c(ORCID = "0000-0003-1432-5511"))
)
Maintainer: Nima Hejazi <[email protected]>
Description: Targeted maximum likelihood (TML) estimation of population-level
causal effects in mediation analysis. The causal effects are defined by
joint static or stochastic interventions applied to the exposure and the
mediator. Targeted doubly robust estimators are provided for the classical
natural direct and indirect effects, as well as the more recently developed
population intervention direct and indirect effects.
Depends: R (>= 3.4.0)
Imports:
R6,
uuid,
methods,
data.table,
assertthat,
sl3 (>= 1.4.2),
tmle3 (>= 0.2.0)
Suggests:
testthat,
knitr,
rmarkdown,
covr,
here,
stats,
stringr,
ggplot2,
dplyr,
Rsolnp,
nnls,
speedglm,
hal9001,
medshift,
mma
Remotes:
github::tlverse/sl3,
github::tlverse/tmle3,
github::nhejazi/medshift
License: GPL-3
URL: https://tlverse.org/tmle3mediate
BugReports: https://github.com/tlverse/tmle3mediate/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1.9001
Roxygen: list(markdown = TRUE, r6 = FALSE)