model.poi.v: Modeling Poisson Regression Model on Original and Simulated...
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 a Poisson regression model. The output of this function will be passed to the main GOF function.

1	model.poi.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. For Poisson model fitting, we used the glm function, so if an intercept is desired, there is no need to include the first column of 1.
`lib.sizes`	library sizes of a RNA-Seq experiment. Default is 0 for all samples.