summary.ptglm: Summarizing Poisson-Tweedie and negative binomial GLM...

In ptmixed: Poisson-Tweedie Generalized Linear Mixed Model

Summarizing Poisson-Tweedie and negative binomial GLM estimation results

Description

Provides parameter estimates, standard errors and univariate Wald test for the Poisson-Tweedie and the negative binomial generalized linear models (fitted through ptglm and nbglm respectively)

Usage

## S3 method for class 'ptglm'
summary(object, silent = F, ...)

Arguments

object	an object of class ptglm (obtained from ptglm or nbglm). #' @param silent logical. If TRUE, information on parameter estimates and tests is not printed on screen. Default is FALSE (info is printed)
silent	logical. If TRUE, information on parameter estimates and tests is not printed on screen. Default is FALSE (info is printed)
...	Further arguments passed to or from other methods.

Value

A list with the following elements: logl, coefficients, D, a

Author(s)

Mirko Signorelli

References

Signorelli, M., Spitali, P., Tsonaka, R. (2021). Poisson-Tweedie mixed-effects model: a flexible approach for the analysis of longitudinal RNA-seq data. Statistical Modelling, 21 (6), 520-545. URL: https://doi.org/10.1177/1471082X20936017

See Also

ptglm, nbglm and the examples therein

ptmixed documentation built on Aug. 18, 2022, 5:06 p.m.