prevalenceForecast: Forecasts prevalences of disability and DFLEs

In patrickaubert/healthexpectancies: Functions to calculate Health and Disability-free Life Expectancies (DFLE) using Sullivan method

Forecasts prevalences of disability and DFLEs

Description

Given a table for the reference year with mortality rates and prevalences of disability, and a projection table with mortality rates, the function calculates prevalences and disability-free life expectancies.

Usage

prevalenceForecast(tabref, tabproj, hypo, includevars = c())

Arguments

tabref	a data frame for the reference year, containing variables: year, age, qx (mortality rate) and pix (prevalences) (+ optional: sex)
tabproj	a data frame for projection years, containing variables: year, age, and qx (mortality rate) (+optional: sex)
hypo	projection hypotheses ('cstDFLE','cstDLE','cstPreval','cstPctDFLE')
includevars	a vector of names of variables that must be included in the output table (otherwise, only pix, ex, DFLEx, DLEx and pctDFLEx are kept)

Details

Projection hypotheses can be one of the following:

• 'cstDFLE' : disability-free life expectancies constant in all year

• 'cstDLE' : in-disability life expectancies constant in all year

• 'cstPreval' : prevalences by age (and sex) constant in all year

• 'cstPctDFLE' : share of disability-free life expectancy in total life-expectancy constant

• 'cstPctDLE' : share of in-disability life expectancy in total life-expectancy constant

Value

a data frame with prevalences, DFLE, DLE and share of DFLE in total LE, by year and age (and optionnally sex)

patrickaubert/healthexpectancies documentation built on Feb. 5, 2024, 10 a.m.