systematic_resampling: Systematic resampling
In pierrejacob/PET:
Description
Usage
Arguments
Details
Value
Examples
Description
Systematic resampling returns a vector of ancestors based on the given
weights, using only one uniform.
Usage
1
systematic_resampling(nsamples, normalized_weights)
Arguments
nsamples
is a number of desired samples
normalized_weights
is a vector of probabilities (non-negative values summing to one)
Details
See Comparison of Resampling Schemes for Particle Filtering, Douc, Cappe and Moulines
[https://arxiv.org/pdf/cs/0507025.pdf]
Value
a vector of nsamples integers between 1 and the size of normalized_weights.
Examples
1
2
3
4
5
N <- 1000
logweights <- rnorm(N)
normalize_weight_results <- normalize_weight(logweights)
normalized_weights <- normalize_weight_results$nw
systematic_resampling(10, normalized_weights)
pierrejacob/PET documentation built on May 25, 2019, 11:35 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Examples
Description
Systematic resampling returns a vector of ancestors based on the given weights, using only one uniform.
Usage
1 | systematic_resampling(nsamples, normalized_weights)
|
Arguments
nsamples |
is a number of desired samples |
normalized_weights |
is a vector of probabilities (non-negative values summing to one) |
Details
See Comparison of Resampling Schemes for Particle Filtering, Douc, Cappe and Moulines [https://arxiv.org/pdf/cs/0507025.pdf]
Value
a vector of nsamples integers between 1 and the size of normalized_weights.
Examples
1 2 3 4 5 | N <- 1000
logweights <- rnorm(N)
normalize_weight_results <- normalize_weight(logweights)
normalized_weights <- normalize_weight_results$nw
systematic_resampling(10, normalized_weights)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.