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MRTAnalysis  

Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials
View on CRAN: Click here


Download and install MRTAnalysis package within the R console
Install from CRAN:
install.packages("MRTAnalysis")

Install from Github:
library("remotes")
install_github("cran/MRTAnalysis")

Install by package version:
library("remotes")
install_version("MRTAnalysis", "0.3.1")



Attach the package and use:
library("MRTAnalysis")
Maintained by
Tianchen Qian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-06
Latest Update: 2023-07-01
Description:
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) . The method for MRT with binary outcomes is the estimator for marginal excursion effect (EMEE) by Qian et al. (2021) .
How to cite:
Tianchen Qian (2023). MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials. R package version 0.3.1, https://cran.r-project.org/web/packages/MRTAnalysis. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2023-03-06 14:50), 0.1.1 (2023-03-11 01:00), 0.1.2 (2023-07-01 23:20), 0.2.0 (2025-08-29 10:41), 0.3.0 (2025-09-09 09:20), 0.3.1 (2025-11-05 20:30), 0.4.0 (2026-01-24 14:10)
Other packages that cited MRTAnalysis R package
View MRTAnalysis citation profile
Other R packages that MRTAnalysis depends, imports, suggests or enhances
Complete documentation for MRTAnalysis
Functions, R codes and Examples using the MRTAnalysis R package
Full MRTAnalysis package functions and examples
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