nbFit: Fit the negative binomial
In ajrominger/RarePlusComMinus: A package in support of the manuscript ""
Description
Usage
Arguments
Details
Value
Author(s)
Description
Fits the negative binomial SSAD to a site x species matrix
Usage
1
nbFit(x)
Arguments
x
a site by species matrix
Details
If likelihood optimization fails for a given species, NA will be
returned for all row elements corresponding to that species.
Value
A matrix with columns giving the species IDs, the two parameters of the
negative binomial distribution, the log likelihood of the negative binomial
distribution, and the log likelihood of the Poisson distribution. Each row is one
species and the species ID refers to the column index of that species in the site x
species matrix x.
Author(s)
Andy Rominger <ajrominger@gmail.com>
ajrominger/RarePlusComMinus documentation built on June 27, 2021, 9:25 p.m.
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.
Description Usage Arguments Details Value Author(s)
Description
Fits the negative binomial SSAD to a site x species matrix
Usage
1 | nbFit(x)
|
Arguments
x |
a site by species matrix |
Details
If likelihood optimization fails for a given species, NA will be
returned for all row elements corresponding to that species.
Value
A matrix with columns giving the species IDs, the two parameters of the
negative binomial distribution, the log likelihood of the negative binomial
distribution, and the log likelihood of the Poisson distribution. Each row is one
species and the species ID refers to the column index of that species in the site x
species matrix x.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.