cgpDataSim: Simulate ERR data from a compound gamma Poisson distribution

In ku-awdc/eggSim: Simulating Datasets Representing Egg Reduction Rate Data

Simulate ERR data from a compound gamma Poisson distribution

Description

Simulate ERR data from a compound gamma Poisson distribution

Usage

cgpDataSim(
  R,
  N,
  reduction,
  community_mean,
  cv_between,
  cv_within,
  cv_slide,
  cv_reduction,
  true_prevalence = 1,
  overall_mean = mean(community_mean),
  grams = 1/24
)

Arguments

R	The number of replicate datasets
N	The maximum number of individuals in total
reduction	The arithmetic mean reduction (may be vectorised)
community_mean	A vector of arithmetic mean pre-treatment EPG in each community
cv_between	A vector of CV reflecting variation in EPG between individuals in each community
cv_within	Day-to-day variation in EPG within an individual
cv_slide	Variation between faecal samples from the same individual and day
cv_reduction	Variation in efficacy between individuals
true_prevalence	The true prevalence of infected individuals, i.e. one minus the zero inflation at individual level
overall_mean	The overall mean (i.e. the mean of the distribution reflecting community means)
grams	The grams of faeces examined (0.0417g i.e. 1/24 EPG is standard for Kato-Katz)

Value

A data frame containing the simulated data

Examples

data <- cgpDataSim(10^3, 100, 0.1, 100, 1, 1, 1, 0, true_prevalence=0.8)

ku-awdc/eggSim documentation built on Feb. 23, 2024, 10:22 p.m.