prevtoinc (version 0.12.0)

simulate_pps_fast: Faster method to generate data for PPS with only length of nosocomial infections as output

Description

The function `simulate_pps_fast` can be used to generate PPS data. This functions simulates a PPS on the basis of a given prevalence `P` using a vector of probabilities `dist.X.loi` for the values 1:length(dist.X.loi) of X.loi. It directly samples the time of infection up to date based on `dist.X.loi`. Optionally, the length of stay is sampled independently ( treating the marginal distributions of length of stay and length of infection as independent by assumption) using `dist.X.los` which is in the same format as `dist.X.loi`. Because of this non-joint sampling rows should not be interpreted as individual patients.

Usage

simulate_pps_fast(n.sample, P, dist.X.loi, dist.X.los = NA,
  one.factor.loi = 1, one.factor.los = 1)

Arguments

n.sample

number of beds to simulate

P

prevalence of nosocomial infections

dist.X.loi

vector of probabilities for values 1:length(dist.X.loi) of X.loi

dist.X.los

vector of probabilities for values 1:length(dist.X.los) of X.los

one.factor.loi

factor by which to approx. reduce number of one day observations for A.loi

one.factor.los

factor by which to approx. reduce number of one day observations for A.los

Value

data frame with a row for a each simulated patient and the 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 (fixed to 1 for fast method)

Examples

# NOT RUN {
example.dist <- create_dist_vec(function(x) dpois(x-1, 7), 70)
data.pps.fast <- simulate_pps_fast(n.sample=5000,
                                  P=0.05,
                                  dist.X.loi = example.dist)
head(data.pps.fast)
# }