dMu: A function for the infinitesimal expectation in births:...
In pspc-data-science/branchsim: Gamma negative binomial branching process simulation of epidemics
Description
Usage
Arguments
Value
View source: R/CMJ-functions.R
Description
A function for the infinitesimal expectation in births: mu(dt) = dMu(t)\,dt
Usage
1
dMu(A = 10, B = 1, Lambda = 0.11, P = 0.5)
Arguments
A
The shape parameter of the gamma life time distribution. Default A =10
B
The rate parameter of the gamma life time distribution. Default B = 1
Lambda
The arrival rate of infectious interactions. Default Lambda = .11
P
The parameter of the logarithmic distribution for the number of infected during an event.
Default P=0.5
Value
A function of t: dMu(t).
pspc-data-science/branchsim documentation built on Jan. 19, 2021, 10:10 a.m.
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Description Usage Arguments Value
View source: R/CMJ-functions.R
Description
A function for the infinitesimal expectation in births: mu(dt) = dMu(t)\,dt
Usage
1 | dMu(A = 10, B = 1, Lambda = 0.11, P = 0.5)
|
Arguments
A |
The shape parameter of the gamma life time distribution. Default A =10 |
B |
The rate parameter of the gamma life time distribution. Default B = 1 |
Lambda |
The arrival rate of infectious interactions. Default Lambda = .11 |
P |
The parameter of the logarithmic distribution for the number of infected during an event. Default P=0.5 |
Value
A function of t: dMu(t).
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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