Smc: Performs a run using a Sequential Markov Chain (SMC) method.
In torebre/abcProject: Sequential Monte Carlo in Approximate Bayesian Computation
Description
This is an implementation of a SMC method. It will do a run
based on the input parameters.
Usage
1
2
3
Smc(smc.configuration, max.iterations = 40, alpha = 0.9,
number.of.particles = 100, resample.ratio = 0.5, start.epsilon = 10,
stop.epsilon = 0.1, number.of.replicates = 1, verbose = F)
torebre/abcProject documentation built on May 31, 2019, 6:37 p.m.
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Description
This is an implementation of a SMC method. It will do a run based on the input parameters.
Usage
1 2 3 | Smc(smc.configuration, max.iterations = 40, alpha = 0.9,
number.of.particles = 100, resample.ratio = 0.5, start.epsilon = 10,
stop.epsilon = 0.1, number.of.replicates = 1, verbose = F)
|
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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