summary.speedglm {speedglm}

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

data(data1)
mod <- speedglm(y~x1+x2+factor(fat1), data=data1, family=Gamma(log))
summary(mod)