irls.nb: Estiamte the regression coefficients in an NB GLM model

In gu-mi/NBGOF: Goodness-of-Fit Tests and Model Diagnostics for Negative Binomial Regression of RNA Sequencing Data

Description

Estimate the regression coefficients in an NBP GLM model for each gene

Usage

irls.nb(y, s, x, phi, beta0, ..., print.level = 0)

Arguments

y	an m*n matrix of counts
s	an n vector of effective library sizes
x	an n*p design matrix
phi	an n*p matrix of regression coefficients
beta0	a K vector, non NA components are hypothesized values of beta, NA components are free components
tol.mu	convergence criteria

Value

beta a K vector, the MLE of the regression coefficients.

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