txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions

Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for the counterfactual mean value of an outcome of interest under an additive modified treatment policy, a stochastic intervention that may depend on the natural value of the exposure. To accommodate settings with outcome-dependent two-phase sampling, procedures incorporating inverse probability of censoring weighting are provided to facilitate the construction of inefficient and efficient one-step and targeted minimum loss estimators. The causal parameter and its estimation were first described by Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust estimation procedure and its application to data from two-phase sampling designs is detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, and DC Benkeser (2020) <doi:10.1111/biom.13375>. The software package implementation is described in NS Hejazi and DC Benkeser (2020) <doi:10.21105/joss.02447>. Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model in 'sl3', available for download from GitHub using 'remotes::install_github("tlverse/sl3")'.

Version: 0.3.6
Depends: R (≥ 3.2.0)
Imports: stats, stringr, data.table, assertthat, mvtnorm, hal9001 (≥ 0.4.1), haldensify (≥ 0.2.1), lspline, ggplot2, scales, latex2exp, Rdpack
Suggests: testthat, knitr, rmarkdown, covr, future, future.apply, origami (≥ 1.0.3), ranger, Rsolnp, nnls
Enhances: sl3 (≥ 1.4.3)
Published: 2021-10-18
Author: Nima Hejazi ORCID iD [aut, cre, cph], David Benkeser ORCID iD [aut], Iván Díaz ORCID iD [ctb], Jeremy Coyle ORCID iD [ctb], Mark van der Laan ORCID iD [ctb, ths]
Maintainer: Nima Hejazi <nh at nimahejazi.org>
BugReports: https://github.com/nhejazi/txshift/issues
License: MIT + file LICENSE
URL: https://github.com/nhejazi/txshift
NeedsCompilation: no
Citation: txshift citation info
Materials: README NEWS
CRAN checks: txshift results

Downloads:

Reference manual: txshift.pdf
Vignettes: Evaluating Causal Effects of Modified Treatment Policies
Package source: txshift_0.3.6.tar.gz
Windows binaries: r-devel: txshift_0.3.5.zip, r-release: txshift_0.3.5.zip, r-oldrel: txshift_0.3.5.zip
macOS binaries: r-release (arm64): txshift_0.3.5.tgz, r-release (x86_64): txshift_0.3.5.tgz, r-oldrel: txshift_0.3.5.tgz
Old sources: txshift archive

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