zinb.loglik.dispersion.gradient: Derivative of the log-likelihood of the zero-inflated...
In zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data
Description
Usage
Arguments
Value
See Also
Description
Derivative of the log-likelihood of the zero-inflated negative binomial model
with respect to the log of the inverse dispersion parameter
Usage
1
zinb.loglik.dispersion.gradient(zeta, Y, mu, logitPi)
Arguments
zeta
the log of the inverse dispersion parameters of the negative
binomial
Y
a vector of counts
mu
a vector of mean parameters of the negative binomial
logitPi
a vector of the logit of the probability of the zero component
Value
the gradient of the inverse dispersion parameters.
See Also
zinb.loglik, zinb.loglik.dispersion.
zinbwave documentation built on Nov. 8, 2020, 8:11 p.m.
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Description Usage Arguments Value See Also
Description
Derivative of the log-likelihood of the zero-inflated negative binomial model with respect to the log of the inverse dispersion parameter
Usage
1 | zinb.loglik.dispersion.gradient(zeta, Y, mu, logitPi)
|
Arguments
zeta |
the log of the inverse dispersion parameters of the negative binomial |
Y |
a vector of counts |
mu |
a vector of mean parameters of the negative binomial |
logitPi |
a vector of the logit of the probability of the zero component |
Value
the gradient of the inverse dispersion parameters.
See Also
zinb.loglik, zinb.loglik.dispersion.
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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