Causal Inference in a Longitudinal Transitioning State Environment

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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