kannisto.estimate: Kannisto Estimation

In MortCast: Estimation and Projection of Age-Specific Mortality Rates

Kannisto Estimation

Description

Estimate the Kannisto parameters (Thatcher et al. 1998).

Usage

kannisto.estimate(mx, ages)

Arguments

mx	A vector of mortality rates.
ages	A vector of ages corresponding to mx. These can be indices of age groups or raw ages.

Details

Given the Kannisto equation logit(mx) = log(c) + dx, the function estimates the c and d parameters using values of ages as the covariate x.

Value

List with the following components:

coefficients:

named vector with Kannisto coefficients c and d.

fitted.values:

the fitted values

residuals:

input rates minus the fitted values

References

Thatcher, A. R., Kannisto, V. and Vaupel, J. W. (1998). The Force of Mortality at Ages 80 to 120, volume 5 of Odense Monographs on Population Aging Series. Odense, Denmark: Odense University Press.

See Also

kannisto.predict, kannisto, cokannisto.estimate

Examples

data(mxM, package = "wpp2017")
mx <- subset(mxM, name == "Canada")[,"2010-2015"]
kannisto.estimate(mx[18:21], ages = 18:21)

MortCast documentation built on April 1, 2022, 1:05 a.m.