BS_PF: Bootstrap Particle Filter
In JMacDonaldPhD/REpi: Pseudo-Marginal Analysis of partially observed Epidemics
BS_PF R Documentation
Bootstrap Particle Filter
Description
Generates a bootstrap particle filter.
Usage
BS_PF(y, X_0, obsFrame, epiModel)
Arguments
y
Observed epidemic data
X_0
Initial epidemic state, which is assumed to be known.
obsFrame
Generator function for observational model.
epiModel
epidemic model
Value
Returns log-likelihood estimate.
JMacDonaldPhD/REpi documentation built on Aug. 2, 2022, 2:09 p.m.
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| BS_PF | R Documentation |
Bootstrap Particle Filter
Description
Generates a bootstrap particle filter.
Usage
BS_PF(y, X_0, obsFrame, epiModel)
Arguments
y |
Observed epidemic data |
X_0 |
Initial epidemic state, which is assumed to be known. |
obsFrame |
Generator function for observational model. |
epiModel |
epidemic model |
Value
Returns log-likelihood estimate.
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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