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$age) in life.expectancy() and lifetable
If the user is happy with the smoothed rates at 110+, there is no reason not to allow the life table and life expectancy to use data to 110+. So specifying a max.age of 110 does not result in a forecast at ages 0-110+.
Grateful if specified minimum and maximum ages are carried through. Thanks
A couple of refinements needed for e0 calculations - to do with minimum and maximum ages for life table calculations.
Usage
life.expectancy(data, series = names(data$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()
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