BayesMortalityPlus (version 0.2.3)

quantile.PredBLC: BLC: Sample quantiles for predictions

Description

Calculates the quantiles of log-mortality based on the resulting chains from a predicted year.

Usage

# S3 method for PredBLC
quantile(x, q, h, ...)

Value

A data.frame with the quantiles of the selected parameter.

Arguments

x

A PredBLC object, result to the pred() function call on a BLC object.

q

A real number that represents the probability of the quantiles.

h

A positive integer especifying the year in the prediciton horizon to be calculated.

...

Further arguments passed to or from other methods.

See Also

quantile.BLC() for BLC method.

Examples

## Importing log-mortality data from Portugal:
data(PT)
Y <- PT

## Fitting the model
fit = blc(Y = Y, M = 100, bn = 20)

## Prediction for 2 years ahead
pred = predict(fit, h = 2)

## The log-mortality median for the first year of prediction
quantile(pred, q = 0.5, h = 1)

## The 0.1 and 0.9 quantiles for the first and second year of prediction
quantile(pred, q = c(0.1, 0.9), h = 1)
quantile(pred, q = c(0.1, 0.9), h = 2)