BMA (version 3.12)

summary.bic: Summaries of Bayesian model averaging objects

Description

summary and print methods for Bayesian model averaging objects.

Usage

## S3 method for class 'bicreg':
summary(object, n.models = 5, digits = max(3, getOption("digits") - 3), 
         conditional = FALSE, display.dropped = FALSE, ...)

## S3 method for class 'bic.glm':
summary(object, n.models = 5, digits = max(3, getOption("digits") - 3), 
         conditional = FALSE, display.dropped = FALSE, ...)

## S3 method for class 'bic.surv':
summary(object, n.models = 5, digits = max(3, getOption("digits") - 3), 
         conditional = FALSE, display.dropped = FALSE, ...)

## S3 method for class 'glib':
summary(object, n.models = 5, digits = max(3, getOption("digits") - 3), 
         conditional = FALSE, index.phi=1, ...) 

## S3 method for class 'mc3':
summary(object, n.models = 5, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'bicreg':
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'bic.glm':
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'bic.surv':
print(x, digits = max(3, getOption("digits") - 3), ...)

## S3 method for class 'mc3':
print(x, digits = max(3, getOption("digits") - 3), 
                    n.models = nrow(x$variables), ...)

Details

The print methods display a view similar to print.lm or print.glm. The summary methods display a view specific to model averaging.

Examples

# logistic regression
library("MASS")
data(birthwt)
y<- birthwt$lo
x<- data.frame(birthwt[,-1])
x$race<- as.factor(x$race)
x$ht<- (x$ht>=1)+0
x<- x[,-9]
x$smoke <- as.factor(x$smoke)
x$ptl<- as.factor(x$ptl)
x$ht <- as.factor(x$ht)
x$ui <- as.factor(x$ui)

glm.out1<- bic.glm(x, y, OR = 20, glm.family="binomial", factor.type=TRUE)
summary(glm.out1, conditional = TRUE)