pred.mass.smooth: Simple Good-Turing frequency estimator, smoothed
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, smoothed by Gale's method (see "Good-Turing Smoothing Without Tears")
Usage
1
pred.mass.smooth(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.
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Description
Estimates the mass which should be assigned to all features with count k in sample x, smoothed by Gale's method (see "Good-Turing Smoothing Without Tears")
Usage
1 | pred.mass.smooth(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.
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