R: Summaries of Bayesian Model Averaging objects from BAS

summary.bas {BAS} | R Documentation

## Summaries of Bayesian Model Averaging objects from BAS

### Description

`summary` and `print` methods for Bayesian model averaging objects created by `bas` Bayesian Adaptive Sampling

### Usage

    ## S3 method for class 'bas'
    summary(object, n.models = 5, ...)

### Arguments

`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 `summary.default`

### Details

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.

### Author(s)

Merlise Clyde clyde@duke.edu

### See Also

`coef.bas`

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()`

### Examples

    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)

[Package BAS version 1.6.2 Index]