Description Usage Arguments Details Value References

This function implements inverse probability weighted (IPW) estimation of population means with missing data, provided fitted propensity scores.

1 | ```
mn.ipw(y, tr, fp)
``` |

`y` |
An |

`tr` |
An |

`fp` |
An |

The ratio IPW estimate is the direct IPW estimate divided by that with `y`

replaced by a vector of 1s. The latter is referred to as
the direct IPW estimate of 1.

`one` |
The direct IPW estimate of 1. |

`est` |
The ratio IPW estimate. |

Tan, Z. (2020a) Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data, *Biometrika*, 107, 137<e2><80><93>158.

Tan, Z. (2020b) Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data, *Annals of Statistics*, 48, 811<e2><80><93>837.

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