compute_phi_mu1: Calculates optimum phi and mu for given other parameters
In mrc-ide/MissingCases: Uses next generation matrices to estimate numbers of missing cases in an epidemic linelist
compute_phi_mu1 R Documentation
Calculates optimum phi and mu for given other parameters
Description
Calculates optimum phi and mu for given other parameters
Usage
compute_phi_mu1(pi, alpha, r1, r2)
Arguments
pi
Proportion of cases detected in the community
alpha
Scaling of reproduction number for traced cases
r1
Ratio of cases not under surveillance (but contact traced) versus the cases under surveillance
r2
Ratio of de novo cases verses detected cases under surveillance
Value
Optimum values of pi and mu1
Examples
compute_phi_mu1(0.3, 0.7, 0.59, 1.5)
mrc-ide/MissingCases documentation built on Sept. 14, 2022, 6:49 a.m.
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| compute_phi_mu1 | R Documentation |
Calculates optimum phi and mu for given other parameters
Description
Calculates optimum phi and mu for given other parameters
Usage
compute_phi_mu1(pi, alpha, r1, r2)
Arguments
pi |
Proportion of cases detected in the community |
alpha |
Scaling of reproduction number for traced cases |
r1 |
Ratio of cases not under surveillance (but contact traced) versus the cases under surveillance |
r2 |
Ratio of de novo cases verses detected cases under surveillance |
Value
Optimum values of pi and mu1
Examples
compute_phi_mu1(0.3, 0.7, 0.59, 1.5)
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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