Description Usage Arguments Details Value

View source: R/fit_mechanisms.R

Estimate the Generalized Propensity Score (Treatment Mechanism)

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`A` |
A |

`W` |
A |

`delta` |
A |

`ipc_weights` |
A |

`fit_type` |
A |

`sl_learners_density` |
Object containing a set of instantiated learners from sl3, to be used in fitting an ensemble model. |

`haldensify_args` |
A |

Compute the propensity score (treatment mechanism) for the observed data, including the shift. This gives the propensity score for the observed data (at the observed A) and the shift (at A - delta).

A `data.table`

with four columns, containing estimates of the
generalized propensity score at a downshift (g(A - delta | W)), no shift
(g(A | W)), an upshift (g(A + delta) | W), and an upshift of magitudie two
(g(A + 2 delta) | W).

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