cgpDataSim | R Documentation |
Simulate ERR data from a compound gamma Poisson distribution
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
)
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) |
A data frame containing the simulated data
data <- cgpDataSim(10^3, 100, 0.1, 100, 1, 1, 1, 0, true_prevalence=0.8)
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