prevalence_to_polynomial: Estimates a polynomial approximation for prevalences by age

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

Estimates a polynomial approximation for prevalences by age

Description

Given a vector of ages and a vector of prevalences (constant over each age brackets), the function returns the vector of prevalences by age smoothed by polynomial approximation of degree 4 (default).

Usage

prevalence_to_polynomial(
  prevalence,
  agecuts = NULL,
  agemin,
  agemax,
  weight = rep(1, (agemax - agemin + 1)),
  degree = 4
)

Arguments

prevalence	a vector with observed prevalences by age or agebracket
agecuts	an optional vector with age defining the age brackets (minimum age in each age bracket)
agemin	minimum age in the output vector
agemax	maximum age in the output vector
weight	a vector of weights for the regression (optional)
degree	the degree of the polynomial function used to smooth prevalences (default value is 4)

Details

Prevalences are supposed to be constant for all ages superior to 100

Value

a vector with prevalences according to polynomial approximation

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