glm.good model fitsummary method for an object of class glm.good.
# S3 method for glm.good
summary( object , ... )object of class glm.good.
additional arguments.
matrix of dimension p x 4 with columns given respectively the estimated coefficient, standard errors, t-statistic and (two-sided) p-value.
log-likelihood function of the fitted model.
Akaike Information Criterion value of the model.
Bayesian Information Criterion value of the model.
unevaluated function call of the object
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.
log-likelihood function of the model without covariates (with intercept only).
Likelihood Ratio Test statistic.
degrees of freedom of the LRT.
p.value of the LRT.
either Logarithmic or Geometric distributions tested against Good distribution with LRT.