model.nb2.v: Modeling NB2 Regression Model with Maximum Likelihood (ML) on...
In gu-mi/NBGOF: Goodness-of-Fit Tests and Model Diagnostics for Negative Binomial Regression of RNA Sequencing Data

This function is designed to fit an NB2 regression model. The output of this function will be passed to the main GOF function nb.gof.v.

1	model.nb2.v(y, x, lib.sizes=NULL)

`y`	an n-by-1 vector of non-negative integers. For a typical RNA-Seq experiment, this may represent the read counts for a single gene across n samples.
`x`	an n-by-p design matrix. If an intercept is desired in the model, you need to specify the first column of `x` as a vector of 1.
`lib.sizes`	library sizes of a RNA-Seq experiment. Default is 1 for all samples.