CRA: Perform Comparative Risk Assesment

In GHI-UW/HOT: The Health-Oriented Transportation (HOT) Model

Description

This function accepts up 5 parameters, all comprised of vectors of values through which to be iterated in order to compute rho (risk, or health burden aversion) using CRA.function.

Usage

CRA(location, participation.b, intensity.b, participation.s = rep(0,
  length(location)), intensity.s = intensity.b, literature = c("Arem",
  "Wen", "Lear"), income = c("High", "Upper-middle", "Lower-middle",
  "Low"))

Arguments

location	Vector of location values
participation.b	Vector of corresponding baseline participation (pi1) values
intensity.b	Data frame of corresponding baseline intensity values: mean (mu1), sd (sigma1)
literature	Vector of related literature authors
income	Vector of country income levels, per Lear et al
participation.b	Vector of corresponding scenario participation (pi1) values
intensity.b	Data frame of corresponding scenario intensity values: mean (mu1), sd (sigma1)

Value

Data frame of locations, participation, intensity, leisure levels, Risk functions, and corresponding values of rho (risk)

GHI-UW/HOT documentation built on June 14, 2019, 1:21 a.m.