Summaries of Bayesian Model Averaging objects from BAS
summary and print methods for Bayesian model averaging objects
created by bas Bayesian Adaptive Sampling
## S3 method for class 'bas' summary(object, n.models = 5, ...)
object |
object of class 'bas' |
n.models |
optional number specifying the number of best models to display in summary |
... |
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@duke.edu
Other bas methods:
BAS,
bas.lm(),
coef.bas(),
confint.coef.bas(),
confint.pred.bas(),
diagnostics(),
fitted.bas(),
force.heredity.bas(),
image.bas(),
plot.confint.bas(),
predict.basglm(),
predict.bas(),
update.bas(),
variable.names.pred.bas()
data(UScrime, package = "MASS") 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)
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