dot-get_infectiousness_profile: Compute a discretized infectiousness profile from a serial...
In covid-19-Re/estimateR: Reproductive number estimation from delayed observations of infections
.get_infectiousness_profile R Documentation
Compute a discretized infectiousness profile from a serial interval distribution.
Description
The serial interval is assumed to be gamma-distributed here,
following Cori et al. 2013.
Usage
.get_infectiousness_profile(
mean_SI = 4.8,
sd_SI = 2.3,
stopping_threshold = 0.999999
)
Arguments
mean_SI
Numeric positive value. Mean of serial interval of epidemic simulated.
sd_SI
Numeric positive value. Standard deviation of serial interval of epidemic simulated.
stopping_threshold
Numeric value between 0 and 1.
Threshold on cumulative sum of infectiousness profile returned.
There is little reason to change to something else than the default value.
Value
Discretized infectiousness profile through time,
represented as a numeric vector with the first value being the infectiousness at time step 0
and each subsequent value being the infectiousness on the time step after the previous value.
covid-19-Re/estimateR documentation built on Sept. 14, 2024, 5:49 a.m.
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| .get_infectiousness_profile | R Documentation |
Compute a discretized infectiousness profile from a serial interval distribution.
Description
The serial interval is assumed to be gamma-distributed here, following Cori et al. 2013.
Usage
.get_infectiousness_profile(
mean_SI = 4.8,
sd_SI = 2.3,
stopping_threshold = 0.999999
)
Arguments
mean_SI |
Numeric positive value. Mean of serial interval of epidemic simulated. |
sd_SI |
Numeric positive value. Standard deviation of serial interval of epidemic simulated. |
stopping_threshold |
Numeric value between 0 and 1. Threshold on cumulative sum of infectiousness profile returned. There is little reason to change to something else than the default value. |
Value
Discretized infectiousness profile through time, represented as a numeric vector with the first value being the infectiousness at time step 0 and each subsequent value being the infectiousness on the time step after the previous value.
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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