adj.risk.sim: Adjusted risk for simulation models

In RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

Calculates adjusted risk for given relative risk and population proportions. This is an intermediate calculation in the calculation of effective probability of infection for risk-based surveillance activities. This function is similar to Adj.risk, except is adapted for use with multiple simulations instead of single RR values.

Usage

adj.risk.sim(rr, ppr)

Arguments

rr	relative risk values (matrix of values, columns corresponding to the number of risk strata, rows corresponding to number of iterations for simulation )
ppr	population proportions corresponding to rr values (vector of equal length to columns in rr)

Value

matrix of adjusted risk values (in order corresponding to rr)

Examples

# examples for adj.risk.sim
its<- 10
risk.cat<- 3
rr<- matrix(0, nrow=its, ncol=risk.cat)
rr[,1]<- mc2d::rpert(its, 5,10,20)
rr[,2]<- mc2d::rpert(its, 2,3,5)
rr[,3]<- 1
ppr<- c(0.05, 0.2, 0.75)
adj.risk.sim(rr, ppr)
adj.risk.sim(matrix(c(5, 3, 1), nrow=1), matrix(c(0.1, 0.1, 0.8), nrow=1))

RSurveillance documentation built on July 2, 2020, 2:33 a.m.