summary.lognlm {logNormReg}

Summarizing model fits for log Normal regression

Description

summary method for class lognlm.

Usage

## S3 method for class 'lognlm'
summary(object, ...)

## S3 method for class 'summary.lognlm'
print(x, digits = max(3L, getOption("digits") - 3L), 
       signif.stars = getOption("show.signif.stars"), ...)

Arguments

object

object of class "lognreg".

x

a summary.segmented object produced by summary.segmented().

digits

controls number of digits printed in output.

signif.stars

logical, should stars be printed on summary tables of coefficients?

...

further arguments to be passed to vcov, for instance sandw=TRUE.

Details

These functions compute and print some useful information relevant to "lognlm" fits, including point estimates, standard errors and p-values.

Value

A list (similar to one returned by lognlm with additional components, such as the estimate standard errors and corresponding p-values.

Author(s)

Vito Muggeo

See Also

See also lognlm and vcov.lognlm

Examples

## Not run: 
n=20
s=.2
set.seed(10)      #just to get reproducible results..

#covariates
x<-seq(.1,10,l=n) 
z<-rnorm(n)

#response
mu<- 10+.5*x- z  #linear regression function
y<-rlnorm(n, log(mu)-s^2/2, s) #data..

o<- lognlm(y~x+z) #the model
summary(o, sandw=TRUE)

## End(Not run)