compute_normalized_log_weights: Normalize a vector of weights on log scale: given a vector of...
In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications
Description
Usage
Arguments
Value
Description
Normalize a vector of weights on log scale: given a vector of log_weights
such that exp(log_weights) are proportional to the final weights, update
so that exp(log_weights) sums to 1.
Usage
1
compute_normalized_log_weights(log_weights)
Arguments
log_weights:
a vector of log(w) where w is proportional to the weights
Value
normalized log_weights so that sum(exp(log_weights)) = 1
reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.
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Description Usage Arguments Value
Description
Normalize a vector of weights on log scale: given a vector of log_weights such that exp(log_weights) are proportional to the final weights, update so that exp(log_weights) sums to 1.
Usage
1 | compute_normalized_log_weights(log_weights)
|
Arguments
log_weights: |
a vector of log(w) where w is proportional to the weights |
Value
normalized log_weights so that sum(exp(log_weights)) = 1
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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