lca.dev.res: Miscellaneous utility functions for 'lca' and 'lca.rh' type...
In ilc: Lee-Carter Mortality Models using Iterative Fitting Algorithms

Description Usage Arguments Details Value Author(s) See Also Examples

A simple utility function to replace the original residuals (e.g. logrates, rates, deaths) of a LC fit with deviance residuals without the need to re-estimate the regression parameters. We note that the estimation of the parameters can be particularly slow in the case of the APC model.

1	lca.dev.res(lca.obj, pop, clip = 0)

`lca.obj`	an object of class `lca`
`pop`	matrix of population data corresponding to the fitted mortality rates
`clip`	number of years to clip from start and end of cohort years

The Lee-Carter regression object contains the type of residuals specified in the original function call, which might need to be changed for further analysis, but without actually re-running the entire iterative estimation process.

An identical regression object as lca.obj containing the corresponding deviance residuals

Zoltan Butt, Steven Haberman and Han Lin Shang

lca.rh

# original model object with 'logrates' residuals
mod6 <- lca.rh(dd.cmi.pens, mod="lc", error="gauss", max=110, interpolate=TRUE)
# adjusted model object with 'deviance' residuals: 
dev6 <- lca.dev.res(mod6, insp.dd(dd.cmi.pens, "pop"))