CRA.function: Perform Comparative Risk Assesment

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

Description

This function accepts up to eight parameters for use with the parameteric physical activity model, or two vectors of quantiles for the non-parametric model. The function returns the population attributable fraction.

Usage

CRA.function(meanlog.baseline = log(5), sdlog.baseline = 1,
  participation.baseline = 0.5, meanlog.scenario = log(5),
  sdlog.scenario = 1, participation.scenario = 0.5,
  Tc.method = "Multinomial", author = "Arem",
  income = "Upper-middle", mean.Tc = 10, sd.Tc = 1, n = 10000,
  B = 10000, P, Q, R = R.arem.fun)

Arguments

meanlog.baseline	Mean of exposure in baseline (log-scale, parameteric model)
sdlog.baseline	Standard deviation of exposure in baseline (log-scale, parameteric model)
participation.baseline	Participation, or proportion of active travelers in baseline (pi1)
meanlog.scenario	Mean of exposure in scenario (log-scale, parameteric model)
sdlog.scenario	Standard deviation of exposure in scenario (log-scale, parameteric model)
participation.scenario	Participation, or proportion of active travelers in scenario (pi1)
n	Number of quantiles (parametric)
B	Sample size (parametric model)
P	Quantiles of exposure in baseline (non-parametric model)
Q	Quantiles of exposure in scenario (non-parametric model)
R	Relative risk function in terms of total exposure (physical activity)
meanlog.leisure	Mean of exposure in leisure physical activity (log-scale, parameteric model)
sdlog.leisure	Standard deviation of leisure physical activity in baseline (log-scale, parameteric model)

Value

The population attributable fraction

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