plotting.ku: Plotting function for 4-parameter vitality model

In vitality: Fitting Routines for the Vitality Family of Mortality Models

Description

This function plots the estimated results from the 4 parameter vitality model. It is used within the function vitality.ku.

Usage

  plotting.ku(r.final,s.final,k.final,u.final,mlv,time,sfract,x1,x2,Ni,
    pplot,tlab,lplot,cplot,Iplot,gfit)

Arguments

r.final	r estimate
s.final	s estimate
k.final	k estimate
u.final	u estimate
mlv	TODO mlv
time	time vector giving the ages at which calculate the estimated value
sfract	observed survival fraction
x1	Time 1
x2	Time 2
Ni	Initial population
pplot	Boolean. Plot cumulative survival fraction?
Iplot	Boolean. Plot incremental survival?
lplot	Boolean. Plot likelihood functions? Provides likelihood function plotting. Defaults to FALSE. Note: these plots are not "likelihood profiles" in that while one parameter is varied, the others are held fixed, rather than re-optimized. (must also have pplot=T.)
cplot	Boolean. Plot likelihood contour plot? Provides a likelihood contour plot for a range of r and s values (can be slow so default is FALSE). Must also have lplot=T and pplot=T to get contour plots.
tlab	Character, label for time axis. Defaults to "days".
gfit	Provides a Pearson C type test for goodness of fit. Default is FALSE. Must provide the initial study population to compute goodness of fit.

Details

See vitality.ku for further description of function arguments.

See Also

vitality.ku

vitality documentation built on May 2, 2019, 9:07 a.m.