summary.mvrm {BNSP} | R Documentation |
Provides basic information from an mvrm fit.
## S3 method for class 'mvrm' summary(object, nModels = 5, digits = 5, printTuning = FALSE, ...)
object |
an object of class "mvrm", usually a result of a call to |
nModels |
integer number of models with the highest posterior probability to be displayed. |
digits |
the number of significant digits to use when printing. |
printTuning |
if set to TRUE, the starting and finishig values of the tuninf parameters are displayed. |
... |
other arguments. |
Use this function to summarize mvrm fits.
The functions provides a detailed description of the specified model and priors. In addition, the function provides information about the Markov chain ran (length, burn-in, thinning) and the folder where the files with posterior samples are stored. Lastly, the function provides the mean posterior and null deviance and the mean/variance models visited most often during posterior sampling.
Georgios Papageorgiou gpapageo@gmail.com
#see \code{mvrm} example