compute_kl_est: Compute KL divergence estimate
In andrewGhazi/malacoda: Bayesian Analysis of High-Throughput Genomic Assays
Description
Usage
Arguments
Value
View source: R/annotation_analysis.R
Description
Approximate the KL divergence between a set of normalized counts
and a prior. An empirical density
Usage
1
compute_kl_est(remnant_set)
Arguments
remnant_set
a data frame of count remnants (i.e. post sample/DNA
abundance normalization) with columns specifying the prior
Value
the Kullback-Leibler divergence between the empirical estimate and
the prior
andrewGhazi/malacoda documentation built on Aug. 2, 2020, 12:54 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 Usage Arguments Value
View source: R/annotation_analysis.R
Description
Approximate the KL divergence between a set of normalized counts and a prior. An empirical density
Usage
1 | compute_kl_est(remnant_set)
|
Arguments
remnant_set |
a data frame of count remnants (i.e. post sample/DNA abundance normalization) with columns specifying the prior |
Value
the Kullback-Leibler divergence between the empirical estimate and the prior
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.