Function reference • EffectXshift

All functions
`EffectXshift()`	EffectXshift
`NHANES_eurocim`	NHANES 2001-2002, POP Exposure on Telomere Length
`NIEHS_data_1`	Data 1 from the NIEHS mixtures workshop
`bound_precision()`	Bound Precision
`bound_propensity()`	Bound Generalized Propensity Score
`calc_CIs()`	Calculate Confidence Interals
`calc_basis_freq()`	Calculate the frequency basis functions are used in the folds
`calc_final_ind_shift_param()`	Calculates the Individual Shift Parameter
`calc_final_joint_shift_param()`	Calculates the Joint Shift Parameter
`calc_intxn_results()`	Calculates the Interaction Parameter
`calc_joint_results()`	Calculate the Joint Parameter
`calc_mediation_param()`	Calculates the Mediation Shift Parameters
`calc_pooled_indiv_shifts()`	Compute the Pooled Shift Parameter Estimate From the Fold Specific Results
`calc_pvals()`	Calculate the p-values based on variance of the influence curve
`calculatePooledEstimate()`	Calculates the Inverse Variance Pooled Estimate Including Null Folds
`create_augmented_data()`	Create Augmented Data for Stochastic Interventions
`create_cv_folds()`	Stratified CV to insure balance (by one grouping variable, Y)
`create_shifted_data()`	Shift Exposures
`create_sls()`	Create default Super Learner estimators for the data adaptive and nuisance parameters used in `EffectXshift`
`eif()`	Compute the Shift Parameter Estimate and the Efficient Influence Function
`est_hn()`	Estimate Auxiliary Covariate of Full Data Efficient Influence Function
`estimate_density_ratio()`	Estimate Density Ratio via Classification
`extract_vars_from_basis()`	Extract variables from the basis function search
`find_max_effect_mods()`	Identification of Maximal Effect Modifiers Using Stochastic Shift Interventions
`find_max_effect_mods_rct()`	Find Maximum Effect Modifiers (RCT, Single Binary A) - Two Approaches
`fit_basis_estimators()`	Fit the Zeta Learner: A Highly Flexible Estimator Using Splines or Basis Functions
`fit_fluctuation()`	Fit One-Dimensional Fluctuation Model for Updating Initial Estimates
`indiv_stoch_shift_est_Q()`	Estimate the Outcome Mechanism
`indiv_stoch_shift_est_g_exp()`	Estimate the Exposure Mechanism via Generalized Propensity Score for One Exposure Variable
`scale_to_original()`	Transform values from the unit interval back to their original scale
`scale_to_unit()`	Transform values by scaling to the unit interval
`shift_additive()`	Simple Additive Modified Treatment Policy
`tmle_exposhift()`	Targeted Minimum Loss Estimate of Counterfactual Mean under Stochastic Shift Intervention

Reference

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