Summaries of Bayesian model averaging objects
summary and print methods for Bayesian model averaging objects.
## 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$variables), ...)object |
object of type 'bicreg', 'bic.glm', 'bic.surv', 'glib' or 'mc3' |
x |
object of type 'bicreg', 'bic.glm', 'bic.surv', 'glib' or 'mc3' |
n.models |
optional number specifying the number of models to display in summary |
digits |
optional number specifying the number of digits to display |
conditional |
optional logical value specifying whether to display conditional expectation and standard deviation |
display.dropped |
optional logical value specifying whether to display the names of any variables dropped before model averaging takes place |
index.phi |
optional number specifying which value of phi to use if multiple values of phi were run. Applies to |
... |
other parameters to be passed to |
The print methods display a view similar to print.lm or print.glm.
The summary methods display a view specific to model averaging.
The summary function does not create a summary object (unlike summary.lm or summary.glm), instead it directly prints the summary. Note that no calculations are done to create the summary.
Ian Painter ian.painter@AT@gmail.com
# logistic regression
library("MASS")
data(birthwt)
y<- birthwt$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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.