R: Methods to summarize Generalized Linear Models fits

summary.speedglm {speedglm} | R Documentation

## Methods to summarize Generalized Linear Models fits

### Description

`summary` method for the class 'speedglm'.

### Usage

    ## S3 method for class 'speedglm'
    summary(object,correlation=FALSE,...)
    ## S3 method for class 'speedglm'
    coef(object,...)
    ## S3 method for class 'speedglm'
    vcov(object,...)
    ## S3 method for class 'speedglm'
    logLik(object,...)
    ## S3 method for class 'speedglm'
    AIC(object,...)

### Arguments

`object` | an object of class 'speedglm'.
`correlation` | logical. Do you want to print the correlation matrix? By default it is false.
`...` | further optional arguments

### Value

`coefficients` | the matrix of coefficients, standard errors, z-statistics and two-side p-values.
`df.residual` | the component from object.
`df.null` | the component from object.
`null.deviance` | the component from object.
`deviance` | the component from object.
`family` | the component from object.
`call` | the component from object.
`AIC` | the Akaike Information Criterion.
`RSS` | Residuals sums of squares.
`correlation` | (only if `correlation` is true.) The correlations of the estimated coefficients.
`logLik` | the log-likelihood value.
`rank` | the component from object.
`dispersion` | the estimated dispersion parameter of the fitted model.
`convergence` | the component from object.
`iter` | the component from object.
`tol` | the component from object.

### Author(s)

Marco ENEA

### See Also

speedglm

### Examples

    n<-1000
    k<-5
    y <- rgamma(n,1.5,1)
    x <-round( matrix(rnorm(n*k),n,k),digits=3)
    colnames(x) <-paste("s",1:k,sep = "")
    da<- data.frame(y,x)
    fo <- as.formula(paste("y~",paste(paste("s",1:k,sep=""),collapse="+")))

    m4 <- speedglm(fo,data=da,family=Gamma(log))
    summary(m4)

[Package speedglm version 0.3-2 Index]