Assessing Proximal, Distal, and Mediated Causal Excursion
Effects for Micro-Randomized Trials
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Documentation for package ‘MRTAnalysis’ version 0.3.0
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 |
| 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_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 |
| 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.wcls_fit | Summarize Causal Excursion Effect Fits for MRT with Continuous Outcomes |
| wcls | Estimates the causal excursion effect for continuous outcome MRT |