summary.glm.good: Summary of 'glm.good' model fit
In good: Good Regression

summary.glm.good

R Documentation

Summary of `glm.good` model fit

summary method for an object of class glm.good.

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

`object`	object of class `glm.good`.
`...`	additional arguments.

`coefficients`	matrix of dimension p x 4 with columns given respectively the estimated coefficient, standard errors, t-statistic and (two-sided) p-value.
`loglik`	log-likelihood function of the fitted model.
`aic`	Akaike Information Criterion value of the model.
`bic`	Bayesian Information Criterion value of the model.
`call`	unevaluated function call of the object
`transformed`	point estimate and approximate standard error of `z=h^{-1}(z^)` where `h^{-1}(\cdot)` is the inverse of the link function and `z^{}` is the corresponding estimated value given in coefficients. The standard error is computed using the univariate Delta method. If the Good regression has covariates, transformed returns a NULL.
`testloglik`	log-likelihood function of the model without covariates (with intercept only).
`LRT`	Likelihood Ratio Test statistic.
`df`	degrees of freedom of the LRT.
`pval`	p.value of the LRT.
`testdist`	either Logarithmic or Geometric distributions tested against Good distribution with LRT.