ineq_mld: ineq_mld

In alysonvanraalte/LifeIneq: Calculate indices of lifespan variation

ineq_mld

Description

Calculate a lifetable column for the conditional mean log deviation index of inequality in survivorship.

Usage

ineq_mld(age, dx, ex, ax, distribution_type = c("aad", "rl"), check = TRUE)

Arguments

age	numeric. vector of lower age bounds.
dx	numeric. vector of the lifetable death distribution.
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.
distribution_type	character. Either "aad" (age at death) or "rl" (remaining life)
check	logical. Shall we perform basic checks on input vectors? Default TRUE

Details

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).

References

\insertRef

vanraalte2012LifeIneq \insertRefcowell1980LifeIneq

See Also

MortalityLaws::MortalityLaw

ungroup::pclm

MortalitySmooth::Mort1Dsmooth

Examples

data(LT)
# A vector containing the conditional MLD indices
MLD = ineq_mld(age=LT$Age,dx=LT$dx,ex=LT$ex,ax=LT$ax)
# The MLD from birth
MLD[1]
# The MLD conditional upon survival to age 10
MLD[11]

alysonvanraalte/LifeIneq documentation built on March 12, 2024, 1:42 p.m.