log_sum_exp: Rethinking utility functions
In joepowers16/rethinking: Statistical Rethinking book package
Description
Usage
Arguments
Details
Author(s)
Description
Numerically stable computation of log sums of exponentiated values.
Usage
1
log_sum_exp( x )
Arguments
x
vector of values
Details
This function is used by WAIC to compute the log average probability used in the formula for WAIC. In that context, a vector of log-probabilities is passed to log_sum_exp, obviating the need to explicitly exponentiate. This helps to avoid rounding errors that occur when working with direct probabilities.
Author(s)
Richard McElreath
joepowers16/rethinking documentation built on June 2, 2019, 6:52 p.m.
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Description Usage Arguments Details Author(s)
Description
Numerically stable computation of log sums of exponentiated values.
Usage
1 | log_sum_exp( x )
|
Arguments
x |
vector of values |
Details
This function is used by WAIC to compute the log average probability used in the formula for WAIC. In that context, a vector of log-probabilities is passed to log_sum_exp, obviating the need to explicitly exponentiate. This helps to avoid rounding errors that occur when working with direct probabilities.
Author(s)
Richard McElreath
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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