print.bas {BAS} | R Documentation |
summary
and print
methods for Bayesian model averaging objects
created by bas
Bayesian Adaptive Sampling
## S3 method for class 'bas'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
x |
object of class 'bas' |
digits |
optional number specifying the number of digits to display |
... |
other parameters to be passed to |
The print methods display a view similar to print.lm
. The summary
methods display a view specific to Bayesian model averaging giving the top 5
highest probability models represented by their inclusion indicators.
Summaries of the models include the Bayes Factor (BF) of each model to the
model with the largest marginal likelihood, the posterior probability of the
models, R2, dim (which includes the intercept) and the log of the marginal
likelihood.
Merlise Clyde clyde@stat.duke.edu
library(MASS)
data(UScrime)
UScrime[, -2] <- log(UScrime[, -2])
crime.bic <- bas.lm(y ~ ., data = UScrime, n.models = 2^15, prior = "BIC", initprobs = "eplogp")
print(crime.bic)
summary(crime.bic)