renormalize: Renormalize weights
In jarad/smcUtils: Utility functions for sequential Monte Carlo
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
This function creates a discrete probability distribution from a
set of unnormalized (log) weights.
Usage
1
renormalize(weights, log=FALSE, engine="R")
Arguments
weights
a vector of numbers (>0 if log=FALSE)
log
a logical indicating whether the weights are given as the logarithm
of the weights
engine
run using "R" or "C" code
Value
a vector of probabilities that sum to 1
Author(s)
Jarad Niemi
See Also
Examples
1
2
3
4
5
ws = runif(10)
renormalize(ws)
log.ws = dnorm(rnorm(10,1,0),log=TRUE)
renormalize(log.ws,log=TRUE)
jarad/smcUtils documentation built on May 18, 2019, 3:46 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
This function creates a discrete probability distribution from a set of unnormalized (log) weights.
Usage
1 | renormalize(weights, log=FALSE, engine="R")
|
Arguments
weights |
a vector of numbers (>0 if log=FALSE) |
log |
a logical indicating whether the weights are given as the logarithm of the weights |
engine |
run using "R" or "C" code |
Value
a vector of probabilities that sum to 1
Author(s)
Jarad Niemi
See Also
Examples
1 2 3 4 5 | ws = runif(10)
renormalize(ws)
log.ws = dnorm(rnorm(10,1,0),log=TRUE)
renormalize(log.ws,log=TRUE)
|
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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