Defining A Task

tmle3_Task make_tmle3_Task()

Class for Storing Data and NPSEM for TMLE

NPSEM

tmle3_Node define_node()

A Node (set of variables) in an NPSEM

all_ancestors() time_ordering()

Helper functions for the NPSEM

Likelihood

Likelihood make_Likelihood()

Class for Likelihood

CF_Likelihood make_CF_Likelihood()

Counterfactual Likelihood

Likelihood Factors

define_lf()

Define a Likelihood Factor

LF_base

Base Class for Defining Likelihood Factors

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

Parameters

define_param()

Define a Parameter

Param_ATT

Additive Effect of Treatment Among the Treated

Param_TSM

Treatment Specific Mean

Param_base

Base Class for Defining Parameters

Param_delta

Delta Method Parameters

Param_mean

Mean of Outcome Node

Propensity Scores

density_formula() get_propensity_scores() propensity_score_plot() propensity_score_table()

Get and Plot Propensity Scores

Index

CF_Likelihood make_CF_Likelihood()

Counterfactual Likelihood

LF_base

Base Class for Defining Likelihood Factors

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 make_Likelihood()

Class for Likelihood

Likelihood_cache

Cache Likelihood values, update those values

Param_ATT

Additive Effect of Treatment Among the Treated

Param_TSM

Treatment Specific Mean

Param_base

Base Class for Defining Parameters

Param_delta

Delta Method Parameters

Param_mean

Mean of Outcome Node

Targeted_Likelihood

Targeted 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

all_ancestors() time_ordering()

Helper functions for the NPSEM

plot_vim()

Plot results of variable importance analysis

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

tmle3()

TMLE from a tmle3_Spec object

tmle3_Fit fit_tmle3()

TMLE fit object

tmle3_Node define_node()

A Node (set of variables) in an NPSEM

tmle3_Spec

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 make_tmle3_Task()

Class for Storing Data and NPSEM for TMLE

tmle3_Update

Defines an update (submodel+loss function)

tmle3_cv_Update

Defines an update (submodel+loss function)

tmle3_vim()

Compute Variable Importance Measures (VIM) with any given parameter

tmle_PAR()

PAR and PAF

tmle_RR()

Risk Ratio

tmle_TSM_all()

All Treatment Specific Means