testResample: Test the residual resampling algorithm.
In bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model
testResample R Documentation
Test the residual resampling algorithm.
Description
Test the residual resampling algorithm.
Usage
testResample(values, weights, pseudo)
Arguments
values
A vector of SMC particles.
weights
A vector of importance weights for each particle.
pseudo
A matrix of pseudo-data for each particle.
Value
A list containing the following elements:
betaA vector of resampled particles.
wtThe new importance weights, after resampling.
pseudoA matrix of pseudo-data for each particle.
idxThe indices of the parents of the resampled particles.
References
Liu, J. S. & Chen, R. (1998) "Sequential Monte Carlo Methods for Dynamic Systems"
J. Am. Stat. Assoc. 93(443): 1032–1044, DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.1998.10473765")}
bayesImageS documentation built on Nov. 6, 2025, 1:18 a.m.
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| testResample | R Documentation |
Test the residual resampling algorithm.
Description
Test the residual resampling algorithm.
Usage
testResample(values, weights, pseudo)
Arguments
values |
A vector of SMC particles. |
weights |
A vector of importance weights for each particle. |
pseudo |
A matrix of pseudo-data for each particle. |
Value
A list containing the following elements:
betaA vector of resampled particles.
wtThe new importance weights, after resampling.
pseudoA matrix of pseudo-data for each particle.
idxThe indices of the parents of the resampled particles.
References
Liu, J. S. & Chen, R. (1998) "Sequential Monte Carlo Methods for Dynamic Systems" J. Am. Stat. Assoc. 93(443): 1032–1044, DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.1998.10473765")}
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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