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  1. 1.
    MRTAnalysis::data_binary
    A synthetic data set of an MRT with binary proximal outcomes
  2. 2.
    MRTAnalysis::data_distal_continuous
    A synthetic data set of an MRT with continuous distal outcome
  3. 3.
    MRTAnalysis::data_example_for_standardized_effect
    Example micro-randomized trial (MRT) data for standardized effect size
  4. 4.
    MRTAnalysis::data_mimicHeartSteps
    A synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous proximal outcomes
  5. 5.
    MRTAnalysis::data_time_varying_mediator_distal_outcome
    Example longitudinal dataset with time-varying mediator and distal outcome
  6. 6.
    MRTSampleSizeBinary::alpha_1
    Vector that defines the success probability null curve.
  7. 7.
    MRTSampleSizeBinary::beta_1
    Vector that defines the MEE under the alternative hypothesis.
  8. 8.
    MRTSampleSizeBinary::f_t_1
    A matrix defining the MEE under the alternative hypothesis.
  9. 9.
    MRTSampleSizeBinary::g_t_1
    A matrix defining the success probability null curve.
  10. 10.
    MRTSampleSizeBinary::m_matrix_1
    An example matrix for "bread" of sandwich estimator of variance.
  11. 11.
    MRTSampleSizeBinary::p_t_1
    A vector of randomization probabilities for each time point.
  12. 12.
    MRTSampleSizeBinary::sigma_matrix_1
    An example matrix for "meat" of sandwich estimator of variance.
  13. 13.
    MRTSampleSizeBinary::tau_t_1
    Vector that holds the average availability at each time point.