log_sum_exp: Compute stable Log-Sum-Exp
In andreaskapou/mpgex: Methylation Profiles predict Gene Expression
Description
Usage
Arguments
Value
References
Examples
Description
log_sum_exp computes the log sum exp trick for avoiding numeric
underflow and have numeric stability in computations of small numbers.
Usage
1
log_sum_exp(x)
Arguments
x
A vector of observations
Value
The logs-sum-exp value
References
https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/
Examples
1
2
x <- c(0.001, 0.5, 2, 1.4, 1.5)
out <- log_sum_exp(x)
andreaskapou/mpgex documentation built on Nov. 25, 2017, 8:08 a.m.
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Description Usage Arguments Value References Examples
Description
log_sum_exp computes the log sum exp trick for avoiding numeric
underflow and have numeric stability in computations of small numbers.
Usage
1 | log_sum_exp(x)
|
Arguments
x |
A vector of observations |
Value
The logs-sum-exp value
References
https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/
Examples
1 2 | x <- c(0.001, 0.5, 2, 1.4, 1.5)
out <- log_sum_exp(x)
|
andreaskapou/mpgex documentation built on Nov. 25, 2017, 8:08 a.m.
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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