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

# Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

## Documentation for package ‘MRTAnalysis’ version 0.4.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

.mcee_assert_df | Assert that input is a data frame
.mcee_build_f_matrix | Build basis matrix f(t) from time-varying effect formula
.mcee_build_weights | Build per-row weights omega(i,t) for MCEE estimation
.mcee_check_binary_col | Validate binary column coding
.mcee_check_control_formula | Validate control formula excludes treatment and outcome
.mcee_check_dp_strictly_increasing | Check that decision points are strictly increasing within each subject
.mcee_check_formula_mediator | Check config formula for inclusion/exclusion of mediator
.mcee_check_id_rows_grouped | Check that rows for each subject appear in contiguous blocks
.mcee_check_no_missing_vars | Check data frame columns for missing/infinite values
.mcee_check_no_missing_vec | Check numeric vector for missing/infinite values
.mcee_check_outcome_constant_within_id | Check that outcome is constant within each subject (required for distal outcomes)
.mcee_check_time_varying_effect_form | Validate time-varying effect formula structure
.mcee_compact_model_info | Generate compact one-line description of nuisance model object
.mcee_core_rows | Numerical core implementing MCEE estimation mathematics
.mcee_default_family | Select default GLM family based on nuisance parameter type
.mcee_drop_var_from_rhs | Remove a variable from RHS-only formula
.mcee_fit_nuisance | Fit a single nuisance component with flexible learner support
.mcee_message_if_no_availability_provided | Print informative message if no availability column provided
.mcee_print_coef_table | Print formatted coefficient table for MCEE results
.mcee_require_cols | Check that required columns exist in data frame
.mcee_resolve_rand_prob | Resolve randomization probability from column name or scalar
.mcee_validate_clipping | Validate clipping bounds for probability predictions
.mcee_validate_method | Validate that learning method is supported
.mcee_vars_in_config | Extract variables from nuisance configuration formula
.mcee_vars_in_rhs | Extract variable names from RHS-only formula
calculate_mrt_effect_size | Calculate standardized proximal treatment effect across time (continuous outcomes)
data_binary | A synthetic data set of an MRT with binary proximal outcomes
data_distal_continuous | A synthetic data set of an MRT with continuous distal outcome
data_example_for_standardized_effect | Example micro-randomized trial (MRT) data for standardized effect size
data_mimicHeartSteps | A synthetic data set that mimics the HeartSteps V1 data structure to illustrate the use of [wcls()] function for continuous proximal outcomes
data_time_varying_mediator_distal_outcome | Example longitudinal dataset with time-varying mediator and distal outcome
dcee | Distal Causal Excursion Effect (DCEE) Estimation
emee | Estimates the causal excursion effect for binary outcome MRT
emee2 | Estimates the causal excursion effect for binary outcome MRT
mcee | Mediated Causal Excursion Effects for MRTs (streamlined)
mcee_config_gam | Configure GAM for MCEE nuisance parameters
mcee_config_glm | Configure GLM for MCEE nuisance parameters
mcee_config_known | Configure known constant values for MCEE nuisance parameters
mcee_config_lm | Configure linear model for MCEE nuisance parameters
mcee_config_maker | Build a nuisance-configuration object for 'mcee_general()'
mcee_config_ranger | Configure Ranger Random Forest for MCEE nuisance parameters
mcee_config_rf | Configure Random Forest for MCEE nuisance parameters
mcee_config_sl | Configure SuperLearner for MCEE nuisance parameters
mcee_config_sl_user | Configure SuperLearner with user-specified library for MCEE nuisance parameters
mcee_general | Mediated Causal Excursion Effects (configurable nuisance models)
mcee_helper_2stage_estimation | Two-stage helper for mediated causal excursion effects (MCEE)
mcee_helper_stage1_fit_nuisance | Fit all nuisance models for MCEE Stage 1
mcee_helper_stage2_estimate_mcee | Stage-2 MCEE parameter estimation given nuisance predictions
mcee_userfit_nuisance | Mediated Causal Excursion Effects with user-supplied nuisance predictions
plot.mrt_effect_size | Plot standardized proximal effect size
print.summary.mcee_fit | Print method for summary of MCEE fits
summary.dcee_fit | Summary for DCEE fits
summary.emee_fit | Summarize Causal Excursion Effect Fits for MRT with Binary Outcomes
summary.mcee_fit | Summarize an mcee fit
summary.mrt_effect_size | Summary for standardized proximal effect size
summary.wcls_fit | Summarize Causal Excursion Effect Fits for MRT with Continuous Outcomes
wcls | Estimates the causal excursion effect for continuous outcome MRT