CausalState-package     CausalState: Causal Inference in a Longitudinal
                        Transitioning State Environment
absorb_rule             Define an absorbing-state override rule
branch_cal_summary      Per-time, per-branch calibration summary from
                        an SDR or iTMLE fit
contrast                Compute contrasts between two fitted estimators
density_ratio           Estimate density ratios for a modified
                        treatment policy
itmle                   Infinite-dimensional TMLE (iTMLE) estimator for
                        longitudinal MTPs
method.WB_dr            Wu-Benkeser log-density-ratio metalearner for
                        SuperLearner
print.sdr_fit           Print methods for CausalState output objects
qreg                    Pure Q-recursion estimator - diagnostic use
                        only
sdr                     Sequential Doubly Robust (SDR) estimator for
                        longitudinal MTPs
sim_bin                 Simulated ICU panel with a single binary
                        treatment
sim_cont                Simulated ICU panel with a single continuous
                        treatment
sim_multi               Simulated ICU panel with multiple treatments
                        (any mix of binary + continuous)
sl_itmle                Custom SuperLearner wrappers for the iTMLE
                        targeting step
sl_tmle                 Default SuperLearner library for the iTMLE
                        targeting step
weight_diagnostics      Per-time weight diagnostics for a density ratio
                        object
