summary.glm_hP: Summarizing hyper-Poisson Fits

In DGLMExtPois: Double Generalized Linear Models Extending Poisson Regression

Summarizing hyper-Poisson Fits

Description

These functions are all methods for class "glm_hP" or summary.glm_hP objects.

Usage

## S3 method for class 'glm_hP'
summary(object, ...)

## S3 method for class 'summary.glm_hP'
print(
  x,
  digits = max(3, getOption("digits") - 3),
  signif.stars = getOption("show.signif.stars"),
  ...
)

Arguments

object	an object of class "glm_hP", usually, a result of a call to glm.hP.
...	further arguments passed to or from other methods.
x	an object of class "summary.glm_hP", usually, a result of a call to summary.glm_hP.
digits	the number of significant digits to use when printing.
signif.stars	logical. If TRUE, ‘significance stars’ are printed for each coefficient.

Examples

## Fit a hyper-Poisson model

Bids$size.sq <- Bids$size ^ 2
fit <- glm.hP(formula.mu = numbids ~ leglrest + rearest + finrest +
              whtknght + bidprem + insthold + size + size.sq + regulatn,
              formula.gamma = numbids ~ 1, data = Bids)

## Obtain a summary of the fitted model

summary(fit)

DGLMExtPois documentation built on Sept. 4, 2023, 5:06 p.m.