tfr.median.set.all {bayesTFR} | R Documentation |

## Editing median for estimation and projections.

### Description

These functions are to be used by expert analysts. They allow to change the estimation and projection medians to specific values or to the WPP values.

### Usage

```
tfr.median.set.all(sim.dir, country, values, years = NULL,
burnin = 0, thin = 1)
tfr.median.reset.estimation(sim.dir, countries = NULL)
tfr.shift.estimation.to.wpp(sim.dir, ..., verbose = TRUE)
```

### Arguments

`sim.dir` |
Directory containing the prediction object. |

`country` |
Name or numerical code of a country. |

`countries` |
Vector of country names or codes. If |

`values` |
Array of the new median values. |

`years` |
Numeric vector giving years which |

`burnin` |
Burnin to use when computing the estimation median. |

`thin` |
Thinning interval to use when computing the estimation median. |

`...` |
Can be used to pass |

`verbose` |
Logical. If |

### Details

Expert analysts can use these functions to adjust both prediction and estimation medians. Estimation medians can only be adjusted if the simulation was performed with `uncertainty = TRUE`

. In such a case `years`

can include past time periods. By default a union of estimation and projection time periods is considered when matched to `values`

.

Function `tfr.shift.estimation.to.wpp`

shifts the median estimation of all countries so that they match the values in the `tfr`

dataset of the corresponding WPP package. Argument `burnin`

and `thin`

should be passed to compute the estimation medians.

Function `tfr.median.reset.estimation`

resets previous adjustments obtained using `tfr.median.set.all`

. By default it resets adjustments for all countries.

### Value

Output is a list. If there are time periods matched to estimation, an object of class `bayesTFR.mcmc.meta`

is included in the element `meta`

. If there are time periods matched to years in prediction, then an object of class `bayesTFR.prediction`

is included in the element `pred`

.

Function `tfr.shift.estimation.to.wpp`

returns the updated `mcmc.set`

object.

### Author(s)

Peiran Liu

### See Also

`tfr.shift.prediction.to.wpp`

for shifting prediction medians to WPP values.

*bayesTFR*version 7.4-2 Index]