View source: R/prior_selection_long.R

prior_selection_long | R Documentation |

This function modifies default hyper prior parameter values in the type of selection model selected according to the type of missingness mechanism and distributions for the outcomes assumed.

```
prior_selection_long(
type,
dist_u,
dist_c,
pu_fixed,
pc_fixed,
zu_fixed,
zc_fixed,
model_u_random,
model_c_random,
model_mu_random,
model_mc_random,
pu_random,
pc_random,
zu_random,
zc_random
)
```

`type` |
Type of missingness mechanism assumed. Choices are Missing At Random (MAR), Missing Not At Random for the effects (MNAR_eff), Missing Not At Random for the costs (MNAR_cost), and Missing Not At Random for both (MNAR). For a complete list of all available hyper parameters and types of models see the manual. |

`dist_u` |
distribution assumed for the effects. Current available chocies are: Normal ('norm'), Beta ('beta'), Gamma ('gamma'), Exponential ('exp'), Weibull ('weibull'), Logistic ('logis'), Poisson ('pois'), Negative Binomial ('nbinom') or Bernoulli ('bern') |

`dist_c` |
Distribution assumed for the costs. Current available chocies are: Normal ('norm'), Gamma ('gamma') or LogNormal ('lnorm') |

`pu_fixed` |
Number of fixed effects for the effectiveness model |

`pc_fixed` |
Number of fixed effects for the cost model |

`zu_fixed` |
Number of fixed effects or the missingness indicators model for the effectiveness |

`zc_fixed` |
Number of fixed effects or the missingness indicators model for the costs |

`model_u_random` |
Random effects formula for the effectiveness model |

`model_c_random` |
Random effects formula for the costs model |

`model_mu_random` |
Random effects formula for the missingness indicators model for the effectiveness |

`model_mc_random` |
Random effects formula for the missingness indicators model for the costs |

`pu_random` |
Number of random effects for the effectiveness model |

`pc_random` |
Number of random effects for the cost model |

`zu_random` |
Number of random effects or the missingness indicators model for the effectiveness |

`zc_random` |
Number of random effects or the missingness indicators model for the costs |

```
#Internal function only
#no examples
#
#
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.