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.
- Version0.1.2
- R version≥ 4.2
- LicenseGPL-3
- Needs compilation?No
- Last release07/01/2023
Documentation
Team
Tianchen Qian
Shaolin Xiang
Show author detailsRolesAuthorZhaoxi Cheng
Show author detailsRolesAuthorAudrey Boruvka
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 130 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 1,728 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 24 downloads.
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Dependencies
- Imports3 packages
- Suggests3 packages