qapc: Function to compute quantiles for age-specific (and...

In BAPC: Projection of cancer incidence and mortality data using Bayesian APC models fitted with INLA

Function to compute quantiles for age-specific (and age-standardized) rates or projections.

Description

Function to compute quantiles for age-specific (and age-standardized) rates or projections.

Usage

  qapc(APCList, percentiles=c(0.025, seq(0.05, 0.95, by=0.05), 0.975))

Arguments

APCList	APCList object generated by the BAPC function.
percentiles	Probabilities related to percentiles or prediction intervals which should be computed. These values must be between 0 and 1.

Value

An APCList object where the desired quantiles are added to agespec.rate(APCList), agespec.proj(APCList) and if available agestd.rate(APCList), agestd.proj(APCList). Note only quantiles that are not yet available will be added.

Author(s)

Andrea Riebler

Examples

## Not run: 
if(requireNamespace("INLA", quietly = TRUE)) {
    require(INLA)
    data(FemLCSweden)
    data(FemPYSweden)
    data(whostandard)

    lc_sweden <- APCList(FemLCSweden, FemPYSweden, gf=5)

    result <- BAPC(lc_sweden, predict=list(npredict=10, retro=TRUE),
        verbose=FALSE, stdweight=whostandard[6:17,2])

    result <- qapc(result)
    head(agespec.proj(result)[[1]])
}

## End(Not run)

BAPC documentation built on March 23, 2022, 3 p.m.