summary.glmfm: Comparison Summaries for Generalized Linear Models

In fit.models: fit.models

Description

Compute a summary of each model in a glmfm object.

Usage

## S3 method for class 'glmfm'
summary(object, correlation = FALSE, ...)

Arguments

object	a glmfm object.
correlation	a logical value. If TRUE, correlation matrices of the coefficient estimates are included in each summary.
...	additional arguments required by the generic summary function.

Value

a list with class summary.glmfm whose elements are summaries of each model in object.

Examples

# From ?glm:
# A Gamma example, from McCullagh & Nelder (1989, pp. 300-2)

clotting <- data.frame(
    u = c(5,10,15,20,30,40,60,80,100),
    lot1 = c(118,58,42,35,27,25,21,19,18),
    lot2 = c(69,35,26,21,18,16,13,12,12))

lot1 <- glm(lot1 ~ log(u), data = clotting, family = Gamma)
lot2 <- glm(lot2 ~ log(u), data = clotting, family = Gamma)

fm <- fit.models(lot1, lot2)
summary(fm)

fit.models documentation built on May 2, 2019, 4:44 p.m.