Man pages for lurui0421/TMLE-for-causal-inference-
The Extensible TMLE Framework
| bound | Bound (Truncate) Likelihoods |
| CF_Likelihood | Counterfactual Likelihood |
| define_lf | Define a Likelihood Factor |
| define_param | Define a Parameter |
| delta_param_ATE | PAR = Linear Contrast EY1-EY0 |
| delta_param_PAF | PAF = 1 - (1/RR(EY/E0)) |
| delta_param_PAR | PAR = Linear Contrast EY-EY0 |
| delta_param_RR | Risk Ratio EY1/EY0 |
| discretize_variable | Discretize Continuous Variable |
| ED_from_estimates | Get Empirical Mean of EIFs from Estimates |
| LF_base | Base Class for Defining Likelihood Factors |
| LF_derived | Derived Likelihood Factor Estimated from Data + Other... |
| LF_emp | Likelihood Factor Estimated using Empirical Distribution |
| LF_fit | Likelihood Factor Estimated from Data using sl3. |
| LF_known | Known True Likelihood Factor |
| LF_static | Static Likelihood Factor |
| Likelihood | Class for Likelihood |
| Likelihood_cache | Cache Likelihood values, update those values |
| npsem_helpers | Helper functions for the NPSEM |
| Param_ATE | Average Treatment Effect |
| Param_ATT | Additive Effect of Treatment Among the Treated |
| Param_base | Base Class for Defining Parameters |
| Param_delta | Delta Method Parameters |
| Param_mean | Mean of Outcome Node |
| Param_TSM | Treatment Specific Mean |
| plot_vim | Plot results of variable importance analysis |
| point_tx | Helper Functions for Point Treatment |
| process_missing | Preprocess Data to Handle Missing Variables |
| propensity_scores | Get and Plot Propensity Scores |
| submodel_logit | Logistic Submodel Fluctuation |
| summary_from_estimates | Summarize Estimates |
| Targeted_Likelihood | Targeted Likelihood |
| tmle3 | TMLE from a tmle3_Spec object |
| tmle3_Fit | TMLE fit object |
| tmle3_Node | A Node (set of variables) in an NPSEM |
| tmle3_Spec | Defines a TML Estimator (except for the data) |
| tmle3_Spec_ATE | Defines a TML Estimator (except for the data) |
| tmle3_Spec_PAR | Defines a tmle (minus the data) |
| tmle3_Spec_RR | Defines a TML Estimator for the Risk Ratio |
| tmle3_Spec_TSM_all | Defines a TML Estimator (except for the data) |
| tmle3_Task | Class for Storing Data and NPSEM for TMLE |
| tmle3_Update | Defines an update procedure (submodel+loss function) |
| tmle3_vim | Compute Variable Importance Measures (VIM) with any given... |
| tmle_ATE | All Treatment Specific Means |
| tmle_PAR | PAR and PAF |
| tmle_RR | Risk Ratio |
| tmle_TSM_all | All Treatment Specific Means |
| train_lf | Manually Train Likelihood Factor The internal training... |
| wald_ci | Wald-Style Confidence Intervals |
