ineq_H | R Documentation |
Calculate a lifetable column for the quantity H, generally referred to as either the lifetable entropy Keyfitz (1977) or the elasticity of life expectancy Leser (1955).
ineq_H(age, dx, lx, ex, ax, check = TRUE, distribution_type = "rl")
age |
numeric. vector of lower age bounds. |
dx |
numeric. vector of the lifetable death distribution. |
lx |
numeric. vector of the lifetable survivorship. |
ex |
numeric. vector of remaining life expectancy. |
ax |
numeric. vector of the average time spent in the age interval of those dying within the interval. |
check |
logical. Shall we perform basic checks on input vectors? Default TRUE |
All input vectors must be the same length. Also, we recommend using input data from a life table by single year of age with a highest age group of at least age 110. If your data have a lower upper age bound, consider extrapolation methods, for instance a parametric Kannisto model (implemented in MortalityLaws::MortalityLaw
). If your data are abridged, consider first smoothing over age, and calculating a life table by single year of age (for instance by smoothing with a pclm model in package ungroup
or with a penalized B-spline approach in package MortalitySmooth
).
keyfitz1977mortalityLifeIneq \insertRefleser1955variationsLifeIneq
MortalityLaws::MortalityLaw
ungroup::pclm
MortalitySmooth::Mort1Dsmooth
data(LT)
# A vector containing the conditional H values
H = ineq_H(age=LT$Age,dx=LT$dx,lx=LT$lx,ex=LT$ex,ax=LT$ax)
# The H from birth
H[1]
# The H conditional upon survival to age 10
H[11]
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