R: Efficient Estimation of the Causal Effects of Stochastic Interventions

# Efficient Estimation of the Causal Effects of Stochastic Interventions

## Documentation for package ‘txshift’ version 0.3.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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