summary.basad {basad} | R Documentation |
Generate summaries from basad
function.
This function allows for the choice of selection criterion (median probability model, BIC) to perform a variable selection.
## S3 method for class 'basad'
summary(object, select.cri = "median", BIC.maxsize = 20, ...)
object |
An object of class |
select.cri |
Model selection criterion. If |
BIC.maxsize |
The maximum number of variables that are chosen to apply BIC criterion based on the ranking of their marginal posterior probabilities. If the dimension is less than the default value of 20, all the variables will be considered to apply BIC. |
... |
Further arguments passed to or from other methods. |
Qingyan Xiang (qyxiang@bu.edu)
Naveen Narisetty (naveen@illinois.edu)
Narisetty, N. N., & He, X. (2014). Bayesian variable selection with shrinking and diffusing priors. The Annals of Statistics, 42(2), 789-817.