R: Comparison Summaries for Generalized Linear Models

summary.glmfm {fit.models} | R Documentation

## Comparison Summaries for Generalized Linear 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)

[Package fit.models version 0.5-14 Index]