Package index • txshift

All functions

bound_precision(): Bound Precision
bound_propensity(): Bound Generalized Propensity Score
confint(<txshift>): Confidence Intervals for Counterfactual Mean Under Stochastic Intervention
eif(): Compute the Shift Parameter Estimate and the Efficient Influence Function
est_Hn(): Estimate Auxiliary Covariate of Full Data Efficient Influence Function
est_Q(): Estimate the Outcome Mechanism
est_g_cens(): Estimate the Censoring Mechanism
est_g_exp(): Estimate the Exposure Mechanism via Generalized Propensity Score
est_samp(): Estimate Probability of Censoring by Two-Phase Sampling
fit_fluctuation(): Fit One-Dimensional Fluctuation Model for Updating Initial Estimates
ipcw_eif_update(): Iterative IPCW Update Procedure of Augmented Efficient Influence Function
msm_vimshift(): Working marginal structural model for causal effects of an intervention grid
onestep_txshift(): One-Step Estimate of Counterfactual Mean of Stochastic Shift Intervention
plot(<txshift_msm>): Plot working MSM for causal effects of an intervention grid
print(<txshift>): Print Method for Counterfactual Mean of Stochastic Shift Intervention
print(<txshift_msm>): Print Method for Marginal Structural Models
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_txshift(): Targeted Minimum Loss Estimate of Counterfactual Mean of Stochastic Shift Intervention
txshift(): Efficient Estimate of Counterfactual Mean of Stochastic Shift Intervention