plot.PredBLC {BayesMortalityPlus} | R Documentation |

## BLC: Plot the log-mortality of a prediction

### Description

This functions plot the predicted log-mortality and the predict intervals of the log-mortality for a specific year in the prediction horizon

### Usage

```
## S3 method for class 'PredBLC'
plot(x, h = NULL, prob = 0.95, plotIC = TRUE, age = NULL, ...)
```

### Arguments

`x` |
A |

`h` |
A numeric vector specifying the year(s) in the prediction horizon to be calculated. |

`prob` |
A real number that represents the probability of the predict interval. |

`plotIC` |
Logical. If 'TRUE' (default), shows the predictive intervals. |

`age` |
A numeric vector indicating the modelled ages. (Optional). |

`...` |
Other arguments. |

### Value

A 'ggplot' object with the predicted mortality rates and their predict intervals.

### See Also

`plot.HP()`

, `plot.DLM()`

and plot.BLC for `HP`

, `DLM`

or `BLC`

methods.

### Examples

```
## Importing log-mortality data from Portugal:
data(PT)
Y <- PT
## Fitting the model
fit = blc(Y = Y, M = 100, bn = 20)
#' ## Prediction for 10 years ahead
pred = predict(fit, h = 3)
## Plotting
plot(pred, h = 1)
plot(pred, h = 3, prob = 0.9)
```

[Package

*BayesMortalityPlus*version 0.2.4 Index]