pbla_std_gsem: Standard PBLA (General SEM)
In sdtemple/pblas: Pair-based Likelihood Approximations
Description
Usage
Arguments
Value
View source: R/pbla_std_gsem.R
Description
Compute pair-based likelihood approximation. Supports Erlang infectious periods.
Usage
1
pbla_std_gsem(r, beta, gamma, N, m = 1, A = 1, lag = 0)
Arguments
r
numeric vector of increasing removal times
beta
numeric rate
gamma
numeric rate
N
integer population size
m
positive integer shape
A
integer patient zeros
lag
numeric fixed lag
Value
negative log likelihood
sdtemple/pblas documentation built on Jan. 8, 2022, 8:36 a.m.
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Description Usage Arguments Value
View source: R/pbla_std_gsem.R
Description
Compute pair-based likelihood approximation. Supports Erlang infectious periods.
Usage
1 | pbla_std_gsem(r, beta, gamma, N, m = 1, A = 1, lag = 0)
|
Arguments
r |
numeric vector of increasing removal times |
beta |
numeric rate |
gamma |
numeric rate |
N |
integer population size |
m |
positive integer shape |
A |
integer patient zeros |
lag |
numeric fixed lag |
Value
negative log likelihood
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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