computeObservationalWeights: Observational weights of the zero-inflated negative binomial...
In zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data
Description
Usage
Arguments
Value
Description
Given a matrix of counts, this function computes the
observational weights of the counts under a zero-inflated negative binomial
(ZINB) model. For each count, the ZINB distribution is parametrized by three
parameters: the mean value and the dispersion of the negative binomial
distribution, and the probability of the zero component.
Usage
1
computeObservationalWeights(model, x)
Arguments
model
the zinb model
x
the matrix of counts
Value
the matrix of observational weights computed from the model.
zinbwave documentation built on Nov. 8, 2020, 8:11 p.m.
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Description Usage Arguments Value
Description
Given a matrix of counts, this function computes the observational weights of the counts under a zero-inflated negative binomial (ZINB) model. For each count, the ZINB distribution is parametrized by three parameters: the mean value and the dispersion of the negative binomial distribution, and the probability of the zero component.
Usage
1 | computeObservationalWeights(model, x)
|
Arguments
model |
the zinb model |
x |
the matrix of counts |
Value
the matrix of observational weights computed from the model.
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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