conditional_particle_filter: conditional_particle_filter
In pierrejacob/bayeshscore: Bayesian Model Comparison using the Hyvarinen Score
View source: R/conditional_particle_filter.R
Description
This function implements the conditional particle filter. If no conditioning path is provided, it performs a regular bootstrap particle filter. It returns log-evidence estimates, particles, normalized weights, tree of paths, and one sample final path.
Usage
1
conditional_particle_filter(observations, model, theta, Nx, path = NULL)
pierrejacob/bayeshscore documentation built on May 25, 2019, 11:35 p.m.
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View source: R/conditional_particle_filter.R
Description
This function implements the conditional particle filter. If no conditioning path is provided, it performs a regular bootstrap particle filter. It returns log-evidence estimates, particles, normalized weights, tree of paths, and one sample final path.
Usage
1 | conditional_particle_filter(observations, model, theta, Nx, path = NULL)
|
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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