summary.zlm: Summarizing Linear Models under Zellner's g

Description

summary method for class "zlm"

Usage

# S3 method for zlm
summary(object, printout = TRUE, ...)

Value

A list with the following elements

residuals: The expected value of residuals from the model
coefficients: The posterior expected values of coefficients (including the intercept)
coef.sd: Posterior standard deviations of the coefficients (the intercept SD is NA, since an improper prior was used)
gprior: The g prior as it has been submitted to object
E.shrinkage: the shrinkage factor \(g/(1+g)\), respectively its posterior expected value in case of a hyper-g prior
SD.shrinkage: (Optionally) the shrinkage factor's posterior standard deviation (in case of a hyper-g prior)
log.lik: The log marginal likelihood of the model

Arguments

object: an object of class zlm: see "Examples" below
printout: If TRUE (default, then information is printed to console in a neat form
...: further arguments passed to or from other methods

Author

Stefan Zeugner

Details

summary.zlm prints out coefficients expected values and their standard deviations, as well as information on the gprior and the log marginal likelihood. However, it invisibly returns a list with elements as described below:

Examples

Run this code


data(datafls)

#simple example
foo = zlm(datafls)
summary(foo)

sfoo = summary(foo,printout=FALSE)
print(sfoo$E.shrinkage)

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