clpDataSim: Simulate ERR data from a compound lognormal Poisson...

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

Simulate ERR data from a compound lognormal Poisson distribution

Description

Simulate ERR data from a compound lognormal Poisson distribution

Usage

clpDataSim(
  R,
  N,
  reduction,
  community_mean,
  cv_between,
  cv_within,
  cv_slide,
  cv_reduction,
  overall_mean = exp(mean(log(community_mean))),
  edt = 24
)

Arguments

R	The number of replicate datasets
N	The maximum number of individuals in total
reduction	The geometric mean reduction (may be vectorised)
community_mean	A vector of geometric 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
overall_mean	The overall mean (i.e. the mean of the distribution reflecting community means)
edt	The egg detection threshold (24 EPG is standard for Kato-Katz)

Value

A data frame containing the simulated data

Examples

clpDataSim(10, 10, c(0.05, 0.1, 0.15), c(800,1000), c(1.5, 1), 1, 1, 1)

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