summary.bma {BMS}  R Documentation 
Returns a vector with summary statistics for a 'bma' object
## S3 method for class 'bma' summary(object,...) ## or info.bma(object,...)
object 
a list/object of class 'bma' that typically results from the function 
... 
further arguments passed to or from other methods 
info.bma
is equivalent to summary.bma
, its argument bmao
conforms to the argument object
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 2^K 
the total model space 2^K 
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 
All of the above statistics can also be directly extracted from the bma object (bmao
). Therefore summary.bma
only returns a character vector.
Martin Feldkircher and Stefan Zeugner
bms
and c.bma
for functions creating bma objects, print.bma
makes use of summary.bma
.
Check http://bms.zeugner.eu for additional help.
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)