| 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_g_cens | Estimate the Censoring Mechanism |
| est_g_exp | Estimate the Exposure Mechanism via Generalized Propensity Score |
| est_Hn | Estimate Auxiliary Covariate of Full Data Efficient Influence Function |
| est_Q | Estimate the Outcome Mechanism |
| 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 |