Description

A class containing the model fitting results from the MGLMfit.

Slots

estimate

object of class "vector", containing the parameter estimates.

SE

object of class "vector", containing the standard errors of the estimates.

vcov

object of class "matrix", the variance covariance matrix of the parameter estimates.

logL

object of class "numeric", the fitted log likelihood.

BIC

object of class "numeric", Bayesian information criterion.

AIC

object of class "numeric", Akaike information criterion.

LRTpvalue

object of class "numeric", likelihood ratio test p value.

gradient

object of class "numeric" or "matrix", containing the gradient.

iter

object of class "numeric", number of iteration used.

distribution

object of class "character", the distribution fitted.

fitted

object of class "vector", the fitted mean of each category.

LRT

object of class "numeric", the likelihood ratio test statistic.

Author(s)

Yiwen Zhang and Hua Zhou

Examples