compute_dispersion_percentage: Simulate number of secondary infections for given dispersion
In Schmidtpk/InfSup: Inference under Superspreading
View source: R/draft helpers.R
compute_dispersion_percentage R Documentation
Simulate number of secondary infections for given dispersion
Usage
compute_dispersion_percentage(disp, R = 1, sample.size = 1000, prob = 0.2)
Arguments
disp
dispersion
R
reproductive number
sample.size
sample size for simulation
prob
ratio of primary cases under consideration. 20
\itemchainlength of chain
Compute percentage of secondary infections from upper percentage of primary cases
Simulate number of secondary infections for given dispersion
Schmidtpk/InfSup documentation built on Jan. 20, 2024, 12:33 a.m.
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View source: R/draft helpers.R
| compute_dispersion_percentage | R Documentation |
Simulate number of secondary infections for given dispersion
Usage
compute_dispersion_percentage(disp, R = 1, sample.size = 1000, prob = 0.2)
Arguments
disp |
dispersion |
R |
reproductive number |
sample.size |
sample size for simulation |
prob |
ratio of primary cases under consideration. 20 \itemchainlength of chain Compute percentage of secondary infections from upper percentage of primary cases |
Simulate number of secondary infections for given dispersion
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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