SimInf_pfilter-class: Class '"SimInf_pfilter"'
In SimInf: A Framework for Data-Driven Stochastic Disease Spread Simulations
SimInf_pfilter-class R Documentation
Class "SimInf_pfilter"
Description
Class "SimInf_pfilter"
Slots
modelA SimInf_model object with one filtered
trajectory attached.
npartAn integer with the number of particles that was used
at each timestep.
loglikThe estimated log likelihood.
essA numeric vector with the effective sample size (ESS).
The effective sample size is computed as
\left(\sum_{i=1}^N\!(w_{t}^{i})^2\right)^{-1},
where w_{t}^{i} is the normalized
weight of particle i at time t.
SimInf documentation built on June 22, 2024, 9:27 a.m.
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| SimInf_pfilter-class | R Documentation |
Class "SimInf_pfilter"
Description
Class "SimInf_pfilter"
Slots
modelA
SimInf_modelobject with one filtered trajectory attached.npartAn integer with the number of particles that was used at each timestep.
loglikThe estimated log likelihood.
essA numeric vector with the effective sample size (ESS). The effective sample size is computed as
\left(\sum_{i=1}^N\!(w_{t}^{i})^2\right)^{-1},where
w_{t}^{i}is the normalized weight of particleiat timet.
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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