generate_I_fast: Function to simulate PPS and data and calculate a number of...

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

Description

Function to simulate PPS and data and calculate a number of estimators

Usage

generate_I_fast(n.sample, P, dist.X.loi, data.theo = NULL,
  dist.X.los = NA, one.factor.loi = 1, one.factor.los = 1)

Arguments

n.sample	number of beds to simulate
P	average prevalence of nosocomial infections
dist.X.loi	vector of probabilities for values 1:length(dist.X.loi) of X.loi
data.theo	data frame with theoretical info generated by simulate_incidence_stats_* function
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 following columns

• n - number of patients sampled

• n.noso - number of HAIs

• P.hat - estimate of prevalence P

• I.hat - estimate of incidence rate I

• I.pp.hat - estimate of incidence proportion per admission I.pp

• x.loi.hat - estimate of x.loi

• x.los.hat - estimate of x.los

• method - name of the method

and rows for the estimators gren, rear, pps.median, pps.mean, pps.mixed, rhame.theo, L.full (for a description of the estimators see vignette).

Examples

example.dist <- create_dist_vec(function(x) dpois(x-1, 7), max.dist = 70)
generate_I_fast(200, P = 0.05, example.dist )

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