multi.resamp: Multinomial Resampling
In mpoll/scale: The Scaleable Langevin Exact Algorithm -- Reference Implementation
Description
Usage
Arguments
Value
See Also
Examples
Description
A simple multinomial resampling algorithm; produces a list of indices
corresponding to n independent samples with replacement from the
categorical distribution with the provided weight vector.
Usage
1
multi.resamp(p.wei, n = length(p.wei))
Arguments
p.wei
Normalized particle weights
n
Number of particles (defaults to the length of the weight vector)
Value
List of particle indices.
See Also
resid.resamp
strat.resamp
system.resamp
Examples
1
2
3
weight <- runif(10)
weight <- weight / sum(weight)
resample.idx <- multi.resamp( weight)
mpoll/scale documentation built on Dec. 9, 2019, 7:15 a.m.
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Description Usage Arguments Value See Also Examples
Description
A simple multinomial resampling algorithm; produces a list of indices corresponding to n independent samples with replacement from the categorical distribution with the provided weight vector.
Usage
1 | multi.resamp(p.wei, n = length(p.wei))
|
Arguments
p.wei |
Normalized particle weights |
n |
Number of particles (defaults to the length of the weight vector) |
Value
List of particle indices.
See Also
resid.resamp strat.resamp system.resamp
Examples
1 2 3 | weight <- runif(10)
weight <- weight / sum(weight)
resample.idx <- multi.resamp( weight)
|
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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