pExtinct: Probability that one initial case leads to an outbreak that...
In branchingprocess: Calculate Outbreak Probabilities for a Branching Process Model
pExtinct R Documentation
Probability that one initial case leads to an outbreak that eventually dies out (stochastic extinction)
Description
Probability that one initial case leads to an outbreak that eventually dies out (stochastic extinction)
Usage
pExtinct(R, k)
Arguments
R
Reproduction number: mean of negative binomial offspring distribution
k
Dispersion parameter of negative binomial offspring distribution
Value
The probability of outbreak extinction
Author(s)
Damon Toth
Examples
# Probability that a single case leads to an extinct outbreak when the offspring distribution
# is negative binomial with mean 2 and dispersion parameter 0.5:
pExtinct(R=2,k=0.5)
branchingprocess documentation built on June 8, 2025, 11:35 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.
| pExtinct | R Documentation |
Probability that one initial case leads to an outbreak that eventually dies out (stochastic extinction)
Description
Probability that one initial case leads to an outbreak that eventually dies out (stochastic extinction)
Usage
pExtinct(R, k)
Arguments
R |
Reproduction number: mean of negative binomial offspring distribution |
k |
Dispersion parameter of negative binomial offspring distribution |
Value
The probability of outbreak extinction
Author(s)
Damon Toth
Examples
# Probability that a single case leads to an extinct outbreak when the offspring distribution
# is negative binomial with mean 2 and dispersion parameter 0.5:
pExtinct(R=2,k=0.5)
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.