dot-compute_discretized_infectiousness: Compute the discretized infectiousness for a particular time...
In covid-19-Re/estimateR: Reproductive number estimation from delayed observations of infections
.compute_discretized_infectiousness R Documentation
Compute the discretized infectiousness for a particular time step.
Description
The gamma distribution specified is not directly the serial interval but the serial interval
minus one, to allow for a gamma distribution (otherwise infectiousness at day 0 could not be handled),
see Cori et al. 2013 for more details.
Usage
.compute_discretized_infectiousness(k, shapeG = 2.73, scaleG = 1.39)
Arguments
k
Integer. Infex of the time step.
shapeG
shape of the gamma distribution of the serial interval -1.
scaleG
scale of the gamma distribution of the serial interval -1.
Value
value of the infectiousness profile at time step k.
covid-19-Re/estimateR documentation built on Sept. 14, 2024, 5:49 a.m.
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| .compute_discretized_infectiousness | R Documentation |
Compute the discretized infectiousness for a particular time step.
Description
The gamma distribution specified is not directly the serial interval but the serial interval minus one, to allow for a gamma distribution (otherwise infectiousness at day 0 could not be handled), see Cori et al. 2013 for more details.
Usage
.compute_discretized_infectiousness(k, shapeG = 2.73, scaleG = 1.39)
Arguments
k |
Integer. Infex of the time step. |
shapeG |
shape of the gamma distribution of the serial interval -1. |
scaleG |
scale of the gamma distribution of the serial interval -1. |
Value
value of the infectiousness profile at time step k.
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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