prevalenceForecast.Rd
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.
prevalenceForecast(tabref, tabproj, hypo, includevars = c())
tabref | a data frame for the reference year, containing variables: year, age, qx (mortality rate) and pix (prevalences) (+ optional: sex) |
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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) |
a data frame with prevalences, DFLE, DLE and share of DFLE in total LE, by year and age (and optionnally sex)
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