ilc: matfle.plot – R documentation

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matfle.plot

Miscellaneous plotting functions for lca and lca.rh type regression objects. Plot of forecasted life expectancy based on a series of fitted Lee-Carter model objects

Description

Compute the historical and forecasted life expectancy of a series of fitted Lee-Carter models and plot them in one comparative figure

Usage

matfle.plot(lca.obj, lca.base, at = 65, label = NULL, ...)

Arguments

`lca.obj`	a list of fitted model objects of class `lca` (such as returned by `elca.rh` function)
`lca.base`	base fitted model object of class `lca` to be used in comparison
`at`	target age at which to calculate life expectancy
`label`	a data label
`...`	additional arguments to `forecast` function

Details

It makes use of the life.expectancy and forecast functions from the demography and forecast packages, respectively, in order to compute life expectancy at the specified target age for each of the model objects in lca.obj.

Value

Plot

Author(s)

Z. Butt and S. Haberman and H. L. Shang

Examples

rfp.cmi <- dd.rfp(dd.cmi.pens, c(0.5, 1.2, -0.7, 2.5))
mod6e <- elca.rh(rfp.cmi, age=50:100, interpolate=TRUE, dec=3)
# plot with original (fitted) base values
matfle.plot(mod6e$lca, label='RFP CMI')
# use a standard LC model fitting as base values
mod6 <- lca.rh(dd.cmi.pens, mod='lc', error='gauss', interpolate=TRUE)
matfle.plot(mod6e$lca, mod6, label='RFP CMI')

ilc

Lee-Carter Mortality Models using Iterative Fitting Algorithms

v1.0

GPL (>= 2)

Authors

Zoltan Butt, Steven Haberman and Han Lin Shang

Initial release

2014-11-19