summary.mvrm: Summary of an mvrm fit

In BNSP: Bayesian Non- And Semi-Parametric Model Fitting

Summary of an mvrm fit

Description

Provides basic information from an mvrm fit.

Usage

## S3 method for class 'mvrm'
summary(object, nModels = 5, digits = 5, printTuning = FALSE, ...)

Arguments

object	an object of class "mvrm", usually a result of a call to mvrm.
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.

Details

Use this function to summarize mvrm fits.

Value

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.

Author(s)

Georgios Papageorgiou [e-mail]

See Also

mvrm

Examples

#see \code{mvrm} example

BNSP documentation built on May 31, 2023, 7:05 p.m.