pbla_partial_gsem: PBLA for partial general stochastic epidemic model
In sdtemple/incompleteSEM: What the Package Does (One Line, Title Case)
pbla_partial_gsem R Documentation
PBLA for partial general stochastic epidemic model
Description
Compute approximate likelihood for partial epidemic observations.
Usage
pbla_partial_gsem(rates, r, N, m = 1, A = 1, lag = 0)
Arguments
rates
numeric vector: rates (beta, gamma)
r
numeric vector: removal times
N
integer: population size
m
integer: positive shape
A
integer: plausible patient zeros
lag
numeric: fixed lag
Value
negative log likelihood
sdtemple/incompleteSEM documentation built on Feb. 22, 2023, 10:13 a.m.
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| pbla_partial_gsem | R Documentation |
PBLA for partial general stochastic epidemic model
Description
Compute approximate likelihood for partial epidemic observations.
Usage
pbla_partial_gsem(rates, r, N, m = 1, A = 1, lag = 0)
Arguments
rates |
numeric vector: rates (beta, gamma) |
r |
numeric vector: removal times |
N |
integer: population size |
m |
integer: positive shape |
A |
integer: plausible 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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