summary.ptglmm {ptmixed}

Summarizing Poisson-Tweedie and negative binomial mixed model estimation results

Description

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

Usage

## S3 method for class 'ptglmm'
summary(object, wald = T, silent = F, ...)

Arguments

object

an object of class ptglmm (obtained from ptmixed or nbmixed).

wald

logical. If TRUE, standard errors and univariate Wald test are computed. Default is TRUE.

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: value of the loglikelihood at the MLE (logl), table with maximum likelihood estimates of the regression coefficients, SEs and Wald tests coefficients, and maximum likelihood estimates of the other parameters (D, a and sigma2)

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

ptmixed, nbmixed and the examples therein