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- 1.MRTAnalysis::data_binaryA synthetic data set of an MRT with binary proximal outcomes
- 2.MRTAnalysis::data_distal_continuousA synthetic data set of an MRT with continuous distal outcome
- 3.MRTAnalysis::data_example_for_standardized_effectExample micro-randomized trial (MRT) data for standardized effect size
- 4.MRTAnalysis::data_mimicHeartStepsA synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous proximal outcomes
- 5.MRTAnalysis::data_time_varying_mediator_distal_outcomeExample longitudinal dataset with time-varying mediator and distal outcome
- 6.MRTSampleSizeBinary::alpha_1Vector that defines the success probability null curve.
- 7.MRTSampleSizeBinary::beta_1Vector that defines the MEE under the alternative hypothesis.
- 8.MRTSampleSizeBinary::f_t_1A matrix defining the MEE under the alternative hypothesis.
- 9.MRTSampleSizeBinary::g_t_1A matrix defining the success probability null curve.
- 10.MRTSampleSizeBinary::m_matrix_1An example matrix for "bread" of sandwich estimator of variance.
- 11.MRTSampleSizeBinary::p_t_1A vector of randomization probabilities for each time point.
- 12.MRTSampleSizeBinary::sigma_matrix_1An example matrix for "meat" of sandwich estimator of variance.
- 13.MRTSampleSizeBinary::tau_t_1Vector that holds the average availability at each time point.