MRTAnalysis: Primary and Secondary Analyses for Micro-Randomized Trials

Estimates marginal causal excursion effects and moderated causal excursion effects for micro-randomized trial (MRT). Applicable to MRT with binary treatment options and continuous or binary outcomes. The method for MRT with continuous outcomes is the weighted centered least squares (WCLS) by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274>. The method for MRT with binary outcomes is the estimator for marginal excursion effect (EMEE) by Qian et al. (2021) <doi:10.1093/biomet/asaa070>.

Version: 0.1.2
Depends: R (≥ 4.2)
Imports: rootSolve, stats, geepack, sandwich
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-07-01
Author: Tianchen Qian ORCID iD [aut, cre], Shaolin Xiang [aut], Zhaoxi Cheng [aut], Audrey Boruvka [ctb]
Maintainer: Tianchen Qian <t.qian at uci.edu>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MRTAnalysis results

Documentation:

Reference manual: MRTAnalysis.pdf
Vignettes: Primary and Secondary Analysis for Micro-Randomized Trial (MRT)

Downloads:

Package source: MRTAnalysis_0.1.2.tar.gz
Windows binaries: r-devel: MRTAnalysis_0.1.2.zip, r-release: MRTAnalysis_0.1.2.zip, r-oldrel: MRTAnalysis_0.1.2.zip
macOS binaries: r-release (arm64): MRTAnalysis_0.1.2.tgz, r-oldrel (arm64): MRTAnalysis_0.1.2.tgz, r-release (x86_64): MRTAnalysis_0.1.2.tgz
Old sources: MRTAnalysis archive

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