gt.fit.lm: Linear model for average transformed counts
In ldiao/Gimp: Good-Turing and empirical Bayes pseudocounts for sparse count matrices
Description
Usage
Arguments
See Also
Description
Low-level function for smoothed Good-Turing frequency estimation. Fits
a linear model to counts subjected to "averaging transformation" in order to obtain
better frequency estimates for samples where no 1s are observed.
Usage
1
gt.fit.lm(x)
Arguments
x
vector of feature counts
See Also
ldiao/Gimp documentation built on May 20, 2019, 11:29 p.m.
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Description Usage Arguments See Also
Description
Low-level function for smoothed Good-Turing frequency estimation. Fits a linear model to counts subjected to "averaging transformation" in order to obtain better frequency estimates for samples where no 1s are observed.
Usage
1 | gt.fit.lm(x)
|
Arguments
x |
vector of feature counts |
See Also
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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