data_example_for_standardized_effect: Example micro-randomized trial (MRT) data for standardized...
In MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials
data_example_for_standardized_effect R Documentation
Example micro-randomized trial (MRT) data for standardized effect size
Description
A synthetic data set in long format, one row per participant-by-decision point,
suitable for illustrating 'calculate_mrt_effect_size()'.
Usage
data_example_for_standardized_effect
Format
A data frame with 5000 observations and 10 variables:
- id
Individual id number.
- decision_point
Decision point index.
- availability
Availability indicator (=1 available, =0 not available).
- prob_treatment
Randomization probability for treatment.
- treatment
Treatment assignment (=1 treated, =0 not treated).
- covariate1
Time-varying covariate 1.
- covariate2
Time-varying covariate 2.
- treatment_effect
Time-varying treatment effect used to generate outcome.
- sigma
Outcome noise scale.
- outcome
Continuous proximal outcome.
MRTAnalysis documentation built on Jan. 24, 2026, 5:07 p.m.
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| data_example_for_standardized_effect | R Documentation |
Example micro-randomized trial (MRT) data for standardized effect size
Description
A synthetic data set in long format, one row per participant-by-decision point, suitable for illustrating 'calculate_mrt_effect_size()'.
Usage
data_example_for_standardized_effect
Format
A data frame with 5000 observations and 10 variables:
- id
Individual id number.
- decision_point
Decision point index.
- availability
Availability indicator (=1 available, =0 not available).
- prob_treatment
Randomization probability for treatment.
- treatment
Treatment assignment (=1 treated, =0 not treated).
- covariate1
Time-varying covariate 1.
- covariate2
Time-varying covariate 2.
- treatment_effect
Time-varying treatment effect used to generate outcome.
- sigma
Outcome noise scale.
- outcome
Continuous proximal outcome.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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