image.bma {BMS}  R Documentation 
Plots a grid with signs and inclusion of coefficients vs. posterior model probabilities for the best models in a 'bma' object:
## S3 method for class 'bma'
image(
x,
yprop2pip = FALSE,
order.by.pip = TRUE,
do.par = TRUE,
do.grid = TRUE,
do.axis = TRUE,
cex.axis = 1,
...
)
x 
a list of class bma (cf. 
yprop2pip 
if 
order.by.pip 
with 
do.par 
Defaults to 
do.grid 

do.axis 

cex.axis 
font size for the axes (cf. 
... 
Parameters to be passed on to 
Under default settings, blue corresponds to positive sign, red to a negative sign, white to noninclusion.
coef.bma for the coefficients in matrix form, bms for creating 'bma' objects.
Check http://bms.zeugner.eu for additional help.
data(datafls)
model=bms(datafls,nmodel=200)
#plot all models
image(model,order.by.pip=FALSE)
image(model,order.by.pip=TRUE,cex.axis=.8)
#plot best 7 models, with other colors
image(model[1:7],yprop2pip=TRUE,col=c("black","lightgrey"))