nb.loglik.matrix: Log-likelihood of the negative binomial model for each entry...
In NewWave: Negative binomial model for scRNA-seq
Description
Usage
Arguments
Value
Description
Given a matrix of counts, this function computes the
log-probabilities of the counts under a zero-inflated negative binomial
(NB) model. For each count, the NB distribution is parametrized by two
parameters: the mean value and the dispersion of the negative binomial
distribution.
Usage
1
nb.loglik.matrix(model, x)
Arguments
model
the newmodel
x
the matrix of counts
Value
the matrix of log-likelihood of the model.
NewWave documentation built on Dec. 26, 2020, 6 p.m.
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Description Usage Arguments Value
Description
Given a matrix of counts, this function computes the log-probabilities of the counts under a zero-inflated negative binomial (NB) model. For each count, the NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution.
Usage
1 | nb.loglik.matrix(model, x)
|
Arguments
model |
the newmodel |
x |
the matrix of counts |
Value
the matrix of log-likelihood of 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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