info.bma {BMS}  R Documentation 
Summary Statistics for a 'bma' Object
Description
Returns a vector with summary statistics for a 'bma' object
Usage
info.bma(bmao)
## S3 method for class 'bma'
summary(object, ...)
Arguments
bmao 
same as 
object 
a list/object of class 'bma' that typically results from the
function 
... 
further arguments passed to or from other methods 
Details
info.bma
is equivalent to summary.bma
, its argument
bmao
conforms to the argument object
Value
A character vector summarizing the results of a call to bms
Mean no. of Regressors 
the posterior mean of model size 
Draws 
the number of iterations (ex burnins) 
Burnins 
the number of burnin iterations 
Time 
the time spent on iterating through the model space 
No. of models visited 
the number of times a model was accepted (including burnins) 
Modelspace 
the total model
space 
list(list("2^K")) 
the total model space 
Percentage visited 

Percentage Topmodels 
number of times the best models were drawn in
percent of 
Corr. PMP 
the correlation between the MCMC frequencies of the best models (the number of times they were drawn) and their marginal likelihoods. 
No. Obs. 
Number of observations 
Model Prior 
a character conforming to the argument 
gprior 
a character
corresponding to argument 
ShrinkageStats 
Posterior expected value und standard deviation (if
applicable) of the shrinkage factor. Only included if argument

Note
All of the above statistics can also be directly extracted from the
bma object (bmao
). Therefore summary.bma
only returns a
character vector.
See Also
bms
and c.bma
for functions creating
bma objects, print.bma
makes use of summary.bma
.
Check http://bms.zeugner.eu for additional help.
Examples
data(datafls)
m_fixed=bms(datafls,burn=1000,iter=3000,user.int=FALSE, )
summary(m_fixed)
m_ebl=bms(datafls,burn=1000,iter=3000,user.int=FALSE, g="EBL",g.stats=TRUE)
info.bma(m_ebl)