Package: MRTAnalysis 0.1.2
Tianchen Qian
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>.
Authors:
MRTAnalysis_0.1.2.tar.gz
MRTAnalysis_0.1.2.tar.gz(r-4.5-noble)MRTAnalysis_0.1.2.tar.gz(r-4.4-noble)
MRTAnalysis_0.1.2.tgz(r-4.4-emscripten)MRTAnalysis_0.1.2.tgz(r-4.3-emscripten)
MRTAnalysis.pdf |MRTAnalysis.html✨
MRTAnalysis/json (API)
NEWS
| # Install 'MRTAnalysis' in R: |
| install.packages('MRTAnalysis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- data_binary - A synthetic data set of an MRT with binary outcome
- data_mimicHeartSteps - A synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous outcomes
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:67c6371397. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux | NOTE | Nov 23 2024 |
Dependencies:backportsbroomclicpp11dplyrfansigeepackgenericsgluelatticelifecyclemagrittrMASSpillarpkgconfigpurrrR6rlangrootSolvesandwichstringistringrtibbletidyrtidyselectutf8vctrswithrzoo
