Description Usage Arguments Details Value Author(s) Examples
Summary method for ESS
objects.
1 2 |
object |
an object of class |
... |
integer indicating the number of best models to be summarized. |
summary
method for the ESS
class. It returns a
summary of the x
object including the list of the
best models visited
The function summary
returns a data frame containing
the following fields describing all of the best models according to:
Rank |
the rank of the model according to its posterior probability. |
nVisits |
the number of times the model has been visited during the run (including the burn-in). |
FirstVisit |
the iteration at which the model was first visited. |
nEvalBefore1st |
the number of iteration before the first visit of the model. |
ModeSize |
the number of variables in the model. |
logCondPost |
the log posterior probability (integrated over the shrinkage factor g). |
postProb |
the posterior probability of the model. |
jeffrey |
the Jeffrey's scale for the model. |
modelName |
the list of variables (predictors) included in the model. |
Benoit Liquet, b.liquet@uq.edu.au,
Marc Chadeau-Hyam m.chadeau@imperial.ac.uk,
Leonardo Bottolo l.bottolo@imperial.ac.uk,
Gianluca Campanella g.campanella11@imperial.ac.uk
1 2 3 | # load an ESS object
modelY_Hopx <- example.as.ESS.object()
summary(modelY_Hopx,20)
|
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