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 'speedlm'.
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 0.1 Index]