weightCalculator: Weight Calculator
In csgillespie/abcpmcmc: Scalable Inference for Markov Processes with Intractable Likelihoods
Description
Usage
Arguments
Value
Description
A function to create a weight calclulator object for use in
calculating particle weights in ABC SMC.
This example is specific to the Lotka Volterra model and priors
as a demonstration
Usage
1
weightCalculator(weights, samples, sigma)
Arguments
weights
A vector of weights that will be updated
samples
A matrix of samples that have the associated weights
sigma
A covariance matrix according to a Gaussian proposal that has been used
Value
A function which calculates weights for a matrix of proposals
csgillespie/abcpmcmc documentation built on May 14, 2019, 12:11 p.m.
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Description Usage Arguments Value
Description
A function to create a weight calclulator object for use in calculating particle weights in ABC SMC. This example is specific to the Lotka Volterra model and priors as a demonstration
Usage
1 | weightCalculator(weights, samples, sigma)
|
Arguments
weights |
A vector of weights that will be updated |
samples |
A matrix of samples that have the associated weights |
sigma |
A covariance matrix according to a Gaussian proposal that has been used |
Value
A function which calculates weights for a matrix of proposals
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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