compute_alpha_mu1: Calculates optimum alpha 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_alpha_mu1 R Documentation
Calculates optimum alpha and mu for given other parameters
Description
Calculates optimum alpha and mu for given other parameters
Usage
compute_alpha_mu1(pi, phi, r1, r2)
Arguments
pi
Proportion of cases detected or “re-captured” by community surveillance
phi
Proportion of contacts recalled
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 alpha and mu1
Examples
compute_alpha_mu1(0.3, 0.7, 0.59, 1.5)
mrc-ide/MissingCases documentation built on Sept. 14, 2022, 6:49 a.m.
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.
| compute_alpha_mu1 | R Documentation |
Calculates optimum alpha and mu for given other parameters
Description
Calculates optimum alpha and mu for given other parameters
Usage
compute_alpha_mu1(pi, phi, r1, r2)
Arguments
pi |
Proportion of cases detected or “re-captured” by community surveillance |
phi |
Proportion of contacts recalled |
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 alpha and mu1
Examples
compute_alpha_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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.