Description Usage Arguments Value Author(s) References See Also Examples

This function calculates individual probabilities for each death and provide posterior credible intervals for each estimates. The default set up is to calculate the 95

1 2 |

`object` |
Fitted |

`data` |
data for the fitted |

`CI` |
Credible interval for posterior estimates. |

`is.aggregate` |
logical indicator for constructing aggregated distribution rather than individual distributions. |

`by` |
list of column names to group by. |

`java_option` |
Option to initialize java JVM. Default to “-Xmx1g”, which sets the maximum heap size to be 1GB. |

`...` |
Not used. |

`mean` |
individual mean COD distribution matrix. |

`median` |
individual median COD distribution matrix. |

`lower` |
individual lower bound for each COD probability. |

`upper` |
individual upper bound for each COD probability. |

Zehang Li, Tyler McCormick, Sam Clark

Maintainer: Zehang Li <[email protected]>

Tyler H. McCormick, Zehang R. Li, Clara Calvert, Amelia C.
Crampin, Kathleen Kahn and Samuel J. Clark Probabilistic cause-of-death
assignment using verbal autopsies, *arXiv preprint arXiv:1411.3042*
http://arxiv.org/abs/1411.3042 (2014)

`insilico`

, `updateIndiv`

, `plot.insilico`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
## Not run:
data(RandomVA1)
fit1<- insilico(RandomVA1, subpop = NULL,
Nsim = 1000, burnin = 500, thin = 10 , seed = 1,
auto.length = FALSE)
summary(fit1, id = "d199")
# Calculate aggregated COD distributions
agg.csmf <- get.indiv(data = RandomVA1, fit1, CI = 0.95,
is.aggregate = TRUE, by = NULL)
head(agg.csmf)
agg.by.sex.age <- get.indiv(data = RandomVA1, fit1, CI = 0.95,
is.aggregate = TRUE, by = list("sex", "age"))
head(agg.by.sex.age$mean)
## End(Not run)
``` |

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