fitdistrNB: Maximum likelihood of negative binomial distribution
In ajrominger/RarePlusComMinus: A package in support of the manuscript ""
Description
Usage
Arguments
Details
Value
Author(s)
Description
Finds the maximum likelihood estimates of the dispersion (k) and mean (mu)
parameters of the negative binomial distribution.
Usage
1
fitdistrNB(x)
Arguments
x
an integer vector
Details
This function lets mu = mean(x) and uses optimize to find
k with log likelihood function defined simply as sum(dnbinom(x, k, mu))
Value
A lsit with components estiamte giving the MLE and loglik
giving the value of the log likelihood function at the maximum. If
var(x) < mean(x) then the MLE does not exist and the funciton returns
size = Inf.
Author(s)
Andy Rominger <ajrominger@gmail.com>
ajrominger/RarePlusComMinus documentation built on June 27, 2021, 9:25 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Finds the maximum likelihood estimates of the dispersion (k) and mean (mu) parameters of the negative binomial distribution.
Usage
1 | fitdistrNB(x)
|
Arguments
x |
an integer vector |
Details
This function lets mu = mean(x) and uses optimize to find
k with log likelihood function defined simply as sum(dnbinom(x, k, mu))
Value
A lsit with components estiamte giving the MLE and loglik
giving the value of the log likelihood function at the maximum. If
var(x) < mean(x) then the MLE does not exist and the funciton returns
size = Inf.
Author(s)
Andy Rominger <ajrominger@gmail.com>
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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