quantile.BLC {BayesMortalityPlus} | R Documentation |
BLC: Sample quantiles
Description
Compute the quantiles based on the resulting chains from a fitted BLC model.
Usage
## S3 method for class 'BLC'
quantile(x, q, name, ...)
Arguments
x |
A |
q |
A real number that represents the probability of the quantiles. |
name |
A character with a parameter name of the blc model that should be returned. It can be one of these: "alpha", "beta", "kappa", "phiv", "theta", "phiw". |
... |
Further arguments passed to or from other methods. |
Value
A data.frame with the quantiles of the selected parameter.
See Also
quantile.PredBLC()
for PredBLC
method.
Examples
## Importing log-mortality data from Portugal:
data(PT)
Y <- PT
## Fitting the model
fit = blc(Y = Y, M = 100, bn = 20)
## Parameters' median and quantiles 0.05, 0.95
quantile(fit, c(0.05, 0.5, 0.95), "alpha")
quantile(fit, c(0.05, 0.5, 0.95), "beta")
quantile(fit, c(0.05, 0.5, 0.95), "kappa")
quantile(fit, c(0.05, 0.5, 0.95), "phiv") ## random error precision
quantile(fit, c(0.05, 0.5, 0.95), "theta") ## drift parameter
quantile(fit, c(0.05, 0.5, 0.95), "phiw")
[Package BayesMortalityPlus version 0.2.4 Index]