mlfo: MLE dispersion estimate
In metaseqR: An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms.
Description
Usage
Arguments
Value
Author(s)
Examples
Description
MLE function used to estimate negative
binomial dispersions from real RNA-Seq
data, as in (Soneson and Delorenzi, BMC
Bioinformatics, 2013) and (Robles et al.,
BMC Genomics, 2012). Internal use.
Usage
1
mlfo(phi, y)
Arguments
phi
the parameter to be optimized.
y
count samples used to perform
the optimization.
Value
The objective function value.
Author(s)
Panagiotis Moulos
Examples
1
# Not yet available
metaseqR documentation built on Nov. 8, 2020, 5:57 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
MLE function used to estimate negative binomial dispersions from real RNA-Seq data, as in (Soneson and Delorenzi, BMC Bioinformatics, 2013) and (Robles et al., BMC Genomics, 2012). Internal use.
Usage
1 | mlfo(phi, y)
|
Arguments
phi |
the parameter to be optimized. |
y |
count samples used to perform the optimization. |
Value
The objective function value.
Author(s)
Panagiotis Moulos
Examples
1 | # Not yet available
|
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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