View source: R/weights_pAMCE.R

Computing weights for estimating the population AMCE using a design-based approach

1 2 3 4 5 6 7 8 9 10 11 | ```
weights_pAMCE(
formula,
factor_name,
data,
pair,
pair_id,
cross_int,
target_dist,
target_type,
partial_joint_name
)
``` |

`formula` |
Formula |

`factor_name` |
A factor for which the function computes weights |

`data` |
Data |

`pair` |
Whether we use a paired-choice conjoint design |

`pair_id` |
Unique identifiers for pairs in the paired-choice conjoint design (optional) |

`cross_int` |
Include interactions across profiles. Default is FALSE |

`target_dist` |
Target profile distributions to be used. This argument should be 'list' |

`target_type` |
Types of target profile distributions. 'marginal', 'partial_joint' or 'target_data'. See Examples for details |

`partial_joint_name` |
Names of factors representing partial joint distributions. See Examples for details. |

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