plot.bma: Plot Posterior Model Size and Model Probabilities

In BMS: Bayesian Model Averaging Library

Plot Posterior Model Size and Model Probabilities

Description

Produces a combined plot: upper row shows prior and posterior model size distribution, lower row shows posterior model probabilities for the best models

Usage

## S3 method for class 'bma'
plot(x, ...)

Arguments

x	an object of class 'bma'
...	additional arguments for matplot

Value

combines the plotting functions plotModelsize and plotConv

Note

The upper plot shows the prior and posterior distribution of model sizes (plotModelsize).
The lower plot is an indicator of how well the bma object has converged (plotConv). and Paul

See Also

plotModelsize and plotConv

Check http://bms.zeugner.eu for additional help.

Examples

data(datafls)
mm=bms(datafls,user.int=FALSE)

plot(mm)

BMS documentation built on Aug. 9, 2022, 5:08 p.m.