weightedMean: Compute the weighted arithmetic means of the particles.
In mooresm/serrsBayes: Bayesian Modelling of Raman Spectroscopy
Description
Usage
Arguments
Value
See Also
Description
This SMC estimate of the means can be used to centre independent Metropolis-Hastings proposals.
Usage
1
weightedMean(particles, log_weights)
Arguments
particles
npeaks * npart Matrix of parameter values for each particle.
log_weights
logarithms of the importance weights of each particle.
Value
A vector of means, one for each row.
See Also
mooresm/serrsBayes documentation built on July 2, 2021, 7:36 a.m.
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Description Usage Arguments Value See Also
Description
This SMC estimate of the means can be used to centre independent Metropolis-Hastings proposals.
Usage
1 | weightedMean(particles, log_weights)
|
Arguments
particles |
|
log_weights |
logarithms of the importance weights of each particle. |
Value
A vector of means, one for each row.
See Also
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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