mixture_25_particles: The output of an SMC sampler where the initial distribution...
In ggsmc: Visualising Output from Sequential Monte Carlo Samplers and Ensemble-Based Methods
mixture_25_particles R Documentation
The output of an SMC sampler where the initial distribution is a Gaussian and the final target is a mixture of Gaussians. 25 particles were used, with an adaptive method to determine the sequence of targets, and a Metropolis-Hastings move to move the particles at each step.
Description
The output of an SMC sampler where the initial distribution is a Gaussian and the final target is a mixture of Gaussians. 25 particles were used, with an adaptive method to determine the sequence of targets, and a Metropolis-Hastings move to move the particles at each step.
Usage
mixture_25_particles
Format
175 observations of 13 variables.
ggsmc documentation built on Sept. 11, 2024, 7:33 p.m.
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| mixture_25_particles | R Documentation |
The output of an SMC sampler where the initial distribution is a Gaussian and the final target is a mixture of Gaussians. 25 particles were used, with an adaptive method to determine the sequence of targets, and a Metropolis-Hastings move to move the particles at each step.
Description
The output of an SMC sampler where the initial distribution is a Gaussian and the final target is a mixture of Gaussians. 25 particles were used, with an adaptive method to determine the sequence of targets, and a Metropolis-Hastings move to move the particles at each step.
Usage
mixture_25_particles
Format
175 observations of 13 variables.
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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