predict.bma {BMS}  R Documentation 
Expected value of prediction based on 'bma' object
## S3 method for class 'bma' predict(object, newdata = NULL, exact = FALSE, topmodels = NULL, ...)
object 
a bma object  see 
newdata 
An optional data.frame, matrix or vector containing variables with which to predict. If omitted, then (the expected values of) the fitted values are returned. 
exact 
If 
topmodels 
index of the models with whom to predict: for instance,

... 
further arguments passed to or from other methods. 
A vector with (expected values of) fitted values.
coef.bma
for obtaining coefficients,
bms
for creating bma objects, predict.lm
for a
comparable function
Check http://bms.zeugner.eu for additional help.
data(datafls) mm=bms(datafls,user.int=FALSE) predict(mm) #fitted values based on MCM frequencies predict(mm, exact=TRUE) #fitted values based on best models predict(mm, newdata=1:41) #prediction based on MCMC frequencies predict(mm, newdata=datafls[1,], exact=TRUE) #prediction based on a data.frame # the following two are equivalent: predict(mm, topmodels=1:10) predict(mm[1:10], exact=TRUE)