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MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal ExcursionEffects for Micro-Randomized Trials

Provides methods to analyze micro-randomized trials (MRTs) with binary treatment options. Supports three types of analyses: (1) proximal causal excursion effects, including weighted and centered least squares (WCLS) for continuous proximal outcomes by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274> and the estimator for marginal excursion effect (EMEE) for binary proximal outcomes by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal causal excursion effects (DCEE) for continuous distal outcomes using a two-stage estimator by Qian (2025) <doi:10.48550/arXiv.2502.13500>; and (3) mediated causal excursion effects (MCEE) for continuous distal outcomes, estimating natural direct and indirect excursion effects in the presence of time-varying mediators by Qian (2025) <doi:10.48550/arXiv.2506.20027>.

Version:	0.3.1
Depends:	R (≥ 4.2)
Imports:	rootSolve, stats,geepack,sandwich,mgcv,randomForest,ranger
Suggests:	knitr,rmarkdown,testthat (≥ 3.0.0),SuperLearner,earth,dplyr
Published:	2025-11-05
DOI:	10.32614/CRAN.package.MRTAnalysis
Author:	Tianchen Qian [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

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