plotComp {BMS}  R Documentation 
Plots a comparison of posterior inclusion probabilites, coefficients or their standard deviation between various bma objects
plotComp(
...,
varNr = NULL,
comp = "PIP",
exact = FALSE,
include.legend = TRUE,
add.grid = TRUE,
do.par = TRUE,
cex.xaxis = 0.8
)
... 
one or more objects of class 'bma' to be compared.

varNr 
optionally, covariate indices to be included in the plot, can be either integer vector or character vector  see examples 
comp 
a character denoting what should be compared: 
exact 
if 
include.legend 
whether to include a default legend in the plot
(custom legends can be added with the command 
add.grid 
whether to add a 
do.par 
whether to adjust 
cex.xaxis 
font size scaling parameter for the xaxis  cf. argument

coef.bma
for the underlying function
Check http://bms.zeugner.eu for additional help.
## sample two simple bma objects
data(datafls)
mm1=bms(datafls[,1:15])
mm2=bms(datafls[,1:15])
#compare PIPs
plotComp(mm1,mm2)
#compare standardized coefficeitns
plotComp(mm1,mm2,comp="Std Mean")
#...based on the lieklihoods of best models
plotComp(mm1,mm2,comp="Std Mean",exact=TRUE)
#plot only PIPs for first four covariates
plotComp(mm1,mm2,varNr=1:4, col=c("black","red"))
#plot only coefficients for covariates 'GDP60 ' and 'LifeExp'
plotComp(mm1,mm2,varNr=c("GDP60", "LifeExp"),comp="Post Mean")