objective.keepSKL: Calculate Fitness of Binary Vector
In tpq/amalgam: Amalgamation-Based Dimension Reduction of Compositional Data
Description
This objective function seeks to maximize the correlation
between the (symmetric) Kullback-Leibler divergence of the
complete composition and the (symmetric) Kullback-Leibler
divergence of the amalgamation.
Usage
1
objective.keepSKL(codon, ARGS)
Arguments
codon
A binary vector.
ARGS
Handled by prepareArgs.
tpq/amalgam documentation built on March 14, 2020, 10:27 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.
Description
This objective function seeks to maximize the correlation between the (symmetric) Kullback-Leibler divergence of the complete composition and the (symmetric) Kullback-Leibler divergence of the amalgamation.
Usage
1 | objective.keepSKL(codon, ARGS)
|
Arguments
codon |
A binary vector. |
ARGS |
Handled by |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.