CF_Likelihood           Counterfactual Likelihood
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 Likelihood values, using sl3.
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
LF_targeted             Use a likelihood factor from an existing
                        targeted likelihood
Likelihood              Class for Likelihood
Likelihood_cache        Cache Likelihood values, update those values
Param_ATC               Additive Effect of Treatment Among the Treated
Param_ATE               Average Treatment Effect
Param_ATT               Additive Effect of Treatment Among the Treated
Param_MSM               Stratified Parameter Estimates via MSM
Param_TSM               Treatment Specific Mean
Param_base              Base Class for Defining Parameters
Param_delta             Delta Method Parameters
Param_mean              Mean of Outcome Node
Param_stratified        Stratified Parameter Estimates
Param_survival          Survival Curve
Targeted_Likelihood     Targeted Likelihood
all_ancestors           Helper functions for the NPSEM
bound                   Bound (Truncate) Likelihoods
define_lf               Define a Likelihood Factor
define_param            Define a Parameter
delta_param_ATE         PAR = Linear Contrast EY1-EY0
delta_param_OR          Odds Ratio odds(Y1)/odds(Y0)
delta_param_PAF         PAF = 1 - (1/RR(EY/E0))
delta_param_PAR         PAR = Linear Contrast EY-EY0
delta_param_RR          Risk Ratio EY1/EY0
density_formula         Get and Plot Propensity Scores
discretize_variable     Discretize Continuous Variable
plot_vim                Plot results of variable importance analysis
point_tx_npsem          Helper Functions for Point Treatment
process_missing         Preprocess Data to Handle Missing Variables
submodel_logit          Logistic Submodel Fluctuation
summary_from_estimates
                        Summarize Estimates
survival_tx_npsem       Helper Functions for Survival Analysis
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_ATC          Defines a TML Estimator (except for the data)
tmle3_Spec_ATE          Defines a TML Estimator (except for the data)
tmle3_Spec_ATT          Defines a TML Estimator (except for the data)
tmle3_Spec_MSM          Defines a Stratified TML Estimator with MSM
                        (except for the data)
tmle3_Spec_OR           Defines a TML Estimator for the Odds Ratio
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_Spec_stratified   Defines a Stratified TML Estimator (except for
                        the data)
tmle3_Spec_survival     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_Update_survival   Defines an update procedure (submodel+loss
                        function) for survival data
tmle3_vim               Compute Variable Importance Measures (VIM) with
                        any given parameter
tmle_ATC                All Treatment Specific Means
tmle_ATE                All Treatment Specific Means
tmle_ATT                All Treatment Specific Means
tmle_MSM                Make MSM version of Stratified TML estimator
                        class
tmle_OR                 Odds Ratio
tmle_PAR                PAR and PAF
tmle_RR                 Risk Ratio
tmle_TSM_all            All Treatment Specific Means
tmle_stratified         Stratified version of TML estimator from other
                        Spec classes
tmle_survival           Treatment Specific Survival
train_lf                Manually Train Likelihood Factor The internal
                        training process for likelihood factors is
                        somewhat obtuse, so this function does the
                        steps to manually train one, which is helpful
                        if you want to use a likelihood factor
                        independently of a likelihood object
