R: Causal Inference in a Longitudinal Transitioning State Environment

# Causal Inference in a Longitudinal Transitioning State Environment

## Documentation for package ‘CausalState’ version 0.10.2

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

## Help Pages

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
CausalState | CausalState: Causal Inference in a Longitudinal Transitioning State Environment
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.branch_cal_summary | Print methods for CausalState output objects
print.itmle_fit | Print methods for CausalState output objects
print.qreg_fit | Print methods for CausalState output objects
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.tgt.empty | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tgt.glm | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tgt.glmnet | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tgt.intercept | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tgt.xgboost | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_empty | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_glm | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_glmnet_enet | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_glmnet_lasso | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_glmnet_ridge | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_intercept | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_xgb_d1 | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_xgb_d3 | Custom SuperLearner wrappers for the iTMLE targeting step
SL.tmle_xgb_d6 | Custom SuperLearner wrappers for the iTMLE targeting step
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