age limits in e0

[robjhyndman]

A couple of refinements needed for e0 calculations - to do with minimum and maximum ages for life table calculations.

Usage

life.expectancy(data, series = names(data$rate)[1], years = data$year,
type = c("period", "cohort"), age = min(data$age),
max.age = min(100, max(data$age)))
flife.expectancy(data, series=NULL, years = data$year, type = c("period", "cohort"),
age = min(data$age), max.age = NULL, PI = FALSE, nsim = 500, ...)
e0(data, series = NULL, years = data$year, type = c("period", "cohort"),
max.age = NULL, PI = FALSE, nsim = 500, ...)

lifetable(data, series = names(data$rate)[1], years = data$year,
ages = data$age, max.age = min(100, max(data$age)),
type = c("period", "cohort"))

MINIMUM AGE is picked up from data in life.expectancy() and flife.expectancy() parameters but this is not used in e0()

e0
function (data, series = NULL, years = data$year, type = c("period",
"cohort"), max.age = NULL, PI = FALSE, nsim = 500, ...)
{
flife.expectancy(data, series = series, years = years, age = 0,
type = type, max.age = max.age, PI = PI, nsim = nsim,
...)
}

MAXIMUM AGE is not allowed to be greater than 100 by virtue of
max.age = min(100, max(data$age) in life.expectancy() and lifetable

If the user is happy with the smoothed rates at 110+, there is no reason not to allow the life table and life expectancy to use data to 110+. So specifying a max.age of 110 does not result in a forecast at ages 0-110+.

Grateful if specified minimum and maximum ages are carried through. Thanks