normalize_weight: Normalize vector of log-weights
In pierrejacob/PET:
Description
Usage
Arguments
Value
Examples
View source: R/normalize_weight.R
Description
Takes a vector of real values, and return the vector of normalized exponentiated values,
as well as average of the exponentiated unnormalized values.
Usage
1
normalize_weight(logweights)
Arguments
logweights
is a vector of n real values
Value
a vector of n non-negative values summing to one
Examples
1
2
3
4
N <- 1000
logweights <- rnorm(N)
normalize_weight_results <- normalize_weight(logweights)
normalized_weights <- normalize_weight_results$nw
pierrejacob/PET documentation built on May 25, 2019, 11:35 p.m.
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Description Usage Arguments Value Examples
View source: R/normalize_weight.R
Description
Takes a vector of real values, and return the vector of normalized exponentiated values, as well as average of the exponentiated unnormalized values.
Usage
1 | normalize_weight(logweights)
|
Arguments
logweights |
is a vector of n real values |
Value
a vector of n non-negative values summing to one
Examples
1 2 3 4 | N <- 1000
logweights <- rnorm(N)
normalize_weight_results <- normalize_weight(logweights)
normalized_weights <- normalize_weight_results$nw
|
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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