Package index
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frengression() - Create a Frengression Model
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frengression_seq() - Create a FrengressionSeq Model for Longitudinal Data
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frengression_surv() - Create a FrengressionSurv Model for Survival Data
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train_y() - Train the Outcome Model (Y)
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train_xz() - Train the Marginal Model (XZ)
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train_e() - Train the Confounder Model (E)
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specify_causal() - Specify a Custom Causal Margin
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reset_y_models() - Reset Outcome Models
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predict_causal() - Predict Causal Effects (generic)
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sample_joint() - Sample from the Joint Distribution
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sample_xz() - Sample from the Marginal Distribution of (X, Z)
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sample_causal_margin() - Sample from the Causal Margin P(Y | do(X))
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predict(<frengression_seq>)predict(<frengression_surv>)predict(<frengression>) - Predict Causal Effects
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print(<frengression>) - Print a Frengression Model
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print(<frengression_seq>) - Print a FrengressionSeq Model
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print(<frengression_surv>) - Print a FrengressionSurv Model