simulate_pps_data: Function to simulate PPS data

In prevtoinc: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting

Description

Simulates PPS data for a prespecified hospital according to a steady state model of incidence ( see vignette "Overview of prevtoinc-Package" for details.)

Usage

simulate_pps_data(n.sample, steps, hospital)

Arguments

n.sample	number of beds to simulate
steps	number of steps to evolve the process
hospital	type of hospital as a list-object (see vignette for details)

Value

data frame with following columns

• A.loi - length of infection up to PPS

• L.loi - total length of infection

• A.los - length of stay up to PPS

• L.los - total length of stay

• patient.type - patient type

Examples

pat.1 <- list(dist.X.los = 
                   create_dist_vec(function(x) dpois(x-1, lambda = 12), 70),
              I.p = 0.008,
              dist.X.loi = 
                   create_dist_vec(function(x) dpois(x-1, lambda = 10), 70))

pat.2 <- list(dist.X.los = 
                   create_dist_vec(function(x) dpois(x-1, lambda = 10), 70),
              I.p = 0.02,
              dist.X.loi =
                   create_dist_vec(function(x) dpois(x-1, lambda = 7), 70))

patient.list <- list(pat.1, pat.2)


# define distribution of patients
pat.1.prob <- 0.4; pat.2.prob <- 0.6
pat.dist.hosp <- c(pat.1.prob, pat.2.prob)
hospital.1 <- list(inc.factor = 1,
                   pat.dist = pat.dist.hosp,
                   patient.list = patient.list)
data.pps <- simulate_pps_data(n.sample=1000, steps=200, hospital=hospital.1)                    

prevtoinc documentation built on June 18, 2019, 5:05 p.m.