model.genewise: Modeling NB Genewise Dispersion Using NBPSeq
In gu-mi/NBGOF: Goodness-of-Fit Tests and Model Diagnostics for Negative Binomial Regression of RNA Sequencing Data

Description Usage Arguments Details Value Author(s) References

This function fits an NB regression model with genewise dispersions using the adjusted profile likelihood estimator. See details below. The output of this function will be passed to the main GOF function nb.gof.m.

1	model.genewise(counts, x)

`counts`	an m-by-n count matrix of non-negative integers. For a typical RNA-Seq experiment, this is the read counts with m genes and n samples.
`x`	an n-by-p design matrix.

details here (HOA)

A list of quantities to be used in the main nb.gof.m function.

Gu Mi <neo.migu@gmail.com>, Yanming Di, Daniel Schafer

See https://github.com/gu-mi/NBGOF/wiki/ for more details.

gu-mi/NBGOF documentation built on Oct. 25, 2020, 3:30 a.m.