Man pages for MRTAnalysis
Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

data_binaryA synthetic data set of an MRT with binary proximal outcomes
data_distal_continuousA synthetic data set of an MRT with continuous distal outcome
data_mimicHeartStepsA synthetic data set that mimics the HeartSteps V1 data...
data_time_varying_mediator_distal_outcomeExample longitudinal dataset with time-varying mediator and...
dceeDistal Causal Excursion Effect (DCEE) Estimation
dot-mcee_assert_dfAssert that input is a data frame
dot-mcee_build_f_matrixBuild basis matrix f(t) from time-varying effect formula
dot-mcee_build_weightsBuild per-row weights omega(i,t) for MCEE estimation
dot-mcee_check_binary_colValidate binary column coding
dot-mcee_check_control_formulaValidate control formula excludes treatment and outcome
dot-mcee_check_dp_strictly_increasingCheck that decision points are strictly increasing within...
dot-mcee_check_formula_mediatorCheck config formula for inclusion/exclusion of mediator
dot-mcee_check_id_rows_groupedCheck that rows for each subject appear in contiguous blocks
dot-mcee_check_no_missing_varsCheck data frame columns for missing/infinite values
dot-mcee_check_no_missing_vecCheck numeric vector for missing/infinite values
dot-mcee_check_outcome_constant_within_idCheck that outcome is constant within each subject (required...
dot-mcee_check_time_varying_effect_formValidate time-varying effect formula structure
dot-mcee_compact_model_infoGenerate compact one-line description of nuisance model...
dot-mcee_core_rowsNumerical core implementing MCEE estimation mathematics
dot-mcee_default_familySelect default GLM family based on nuisance parameter type
dot-mcee_drop_var_from_rhsRemove a variable from RHS-only formula
dot-mcee_fit_nuisanceFit a single nuisance component with flexible learner support
dot-mcee_message_if_no_availability_providedPrint informative message if no availability column provided
dot-mcee_print_coef_tablePrint formatted coefficient table for MCEE results
dot-mcee_require_colsCheck that required columns exist in data frame
dot-mcee_resolve_rand_probResolve randomization probability from column name or scalar
dot-mcee_validate_clippingValidate clipping bounds for probability predictions
dot-mcee_validate_methodValidate that learning method is supported
dot-mcee_vars_in_configExtract variables from nuisance configuration formula
dot-mcee_vars_in_rhsExtract variable names from RHS-only formula
emeeEstimates the causal excursion effect for binary outcome MRT
emee2Estimates the causal excursion effect for binary outcome MRT
mceeMediated Causal Excursion Effects for MRTs (streamlined)
mcee_config_gamConfigure GAM for MCEE nuisance parameters
mcee_config_glmConfigure GLM for MCEE nuisance parameters
mcee_config_knownConfigure known constant values for MCEE nuisance parameters
mcee_config_lmConfigure linear model for MCEE nuisance parameters
mcee_config_makerBuild a nuisance-configuration object for 'mcee_general()'
mcee_config_rangerConfigure Ranger Random Forest for MCEE nuisance parameters
mcee_config_rfConfigure Random Forest for MCEE nuisance parameters
mcee_config_slConfigure SuperLearner for MCEE nuisance parameters
mcee_config_sl_userConfigure SuperLearner with user-specified library for MCEE...
mcee_generalMediated Causal Excursion Effects (configurable nuisance...
mcee_helper_2stage_estimationTwo-stage helper for mediated causal excursion effects (MCEE)
mcee_helper_stage1_fit_nuisanceFit all nuisance models for MCEE Stage 1
mcee_helper_stage2_estimate_mceeStage-2 MCEE parameter estimation given nuisance predictions
mcee_userfit_nuisanceMediated Causal Excursion Effects with user-supplied nuisance...
print.summary.mcee_fitPrint method for summary of MCEE fits
summary.dcee_fitSummary for DCEE fits
summary.emee_fitSummarize Causal Excursion Effect Fits for MRT with Binary...
summary.mcee_fitSummarize an mcee fit
summary.wcls_fitSummarize Causal Excursion Effect Fits for MRT with...
wclsEstimates the causal excursion effect for continuous outcome...
MRTAnalysis documentation built on Sept. 9, 2025, 5:41 p.m.