Function reference • tmle

Defining A Task
`make_tmle3_Task()`	Class for Storing Data and NPSEM for TMLE
NPSEM
`define_node()`	A Node (set of variables) in an NPSEM
`all_ancestors()` `time_ordering()`	Helper functions for the NPSEM
Likelihood
`make_Likelihood()`	Class for Likelihood
`make_CF_Likelihood()`	Counterfactual Likelihood
Likelihood Factors
`define_lf()`	Define a Likelihood Factor
`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
Parameters
`define_param()`	Define a Parameter
`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
Propensity Scores
`density_formula()` `get_propensity_scores()` `propensity_score_plot()` `propensity_score_table()`	Get and Plot Propensity Scores
Index
`make_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
`make_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
`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
`discretize_variable()`	Discretize Continuous Variable
`all_ancestors()` `time_ordering()`	Helper functions for the NPSEM
`plot_vim()`	Plot results of variable importance analysis
`point_tx_npsem()` `point_tx_task()` `point_tx_likelihood()`	Helper Functions for Point Treatment
`process_missing()`	Preprocess Data to Handle Missing Variables
`density_formula()` `get_propensity_scores()` `propensity_score_plot()` `propensity_score_table()`	Get and Plot Propensity Scores
`submodel_logit()`	Logistic Submodel Fluctuation
`summary_from_estimates()`	Summarize Estimates
`survival_tx_npsem()` `survival_tx_task()` `survival_tx_likelihood()`	Helper Functions for Survival Analysis
`tmle3()`	TMLE from a tmle3_Spec object
`fit_tmle3()`	TMLE fit object
`define_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)
`make_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

Reference

Defining A Task

NPSEM

Likelihood

Likelihood Factors

Parameters

Propensity Scores

Index