Description Usage Arguments Value Author(s) See Also Examples
This function creates a discrete probability distribution from a set of unnormalized (log) weights.
1 | renormalize(weights, log=FALSE, engine="R")
|
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 |
a vector of probabilities that sum to 1
Jarad Niemi
1 2 3 4 5 | ws = runif(10)
renormalize(ws)
log.ws = dnorm(rnorm(10,1,0),log=TRUE)
renormalize(log.ws,log=TRUE)
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