data_time_varying_mediator_distal_outcome: Example longitudinal dataset with time-varying mediator and...

In MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

Example longitudinal dataset with time-varying mediator and distal outcome

Description

A simulated long-format dataset used in the vignette and tests. Each row corresponds to one subject–decision point. The distal outcome 'Y' is constant within subject (repeated on every row for that subject).

Usage

data_time_varying_mediator_distal_outcome

Format

A data frame with n * T_val rows and the following columns:

id

Subject identifier (integer).

dp

Decision point index, strictly increasing within subject (integer).

I

Availability indicator at time dp (0/1).

A

Treatment at time dp (0/1).

M

Mediator at time dp (numeric; could be binary or continuous).

X

Time-varying covariate at time dp (numeric).

A_prev

Lagged treatment at time dp-1 (0/1).

M_prev

Lagged mediator at time dp-1 (numeric).

X_prev

Lagged covariate at time dp-1 (numeric).

I_prev

Lagged availability at time dp-1 (0/1).

p_A

Randomization probability for A at time dp (numeric in (0,1)).

p_I

Availability probability for I at time dp (numeric in (0,1)).

mu_M

Conditional mean of M given history (numeric; from DGM).

mu_X

Conditional mean of X given history (numeric; from DGM).

mu_Y

Conditional mean component for distal outcome Y (numeric; from DGM).

Y

Distal outcome, constant within subject (numeric).

Details

Generated by dgm_time_varying_mediator_distal_outcome() in the package source. Intended for illustrating mcee usage. No missing values.

Source

Simulated.

See Also

mcee, mcee_general, mcee_userfit_nuisance

Examples

data(data_time_varying_mediator_distal_outcome)
str(data_time_varying_mediator_distal_outcome)

MRTAnalysis documentation built on Sept. 9, 2025, 5:41 p.m.