logNormReg (version 0.5-0)

summary.lognlm: Summarizing model fits for log Normal regression

Description

summary method for class lognlm.

Usage

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

Value

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

Details

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

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)
# }