pred.mass: Good-Turing frequency estimator
In ldiao/Gimp: Good-Turing and empirical Bayes pseudocounts for sparse count matrices
Description
Estimates the mass which should be assigned to all features with count
k in sample x.
Usage
1
pred.mass(x, k = 0)
Arguments
x
vector of feature counts
k
count value for which mass should be estimated
ldiao/Gimp documentation built on May 20, 2019, 11:29 p.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
Estimates the mass which should be assigned to all features with count k in sample x.
Usage
1 | pred.mass(x, k = 0)
|
Arguments
x |
vector of feature counts |
k |
count value for which mass should be estimated |
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.