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BAS (version 1.0.5)

predict.bma: Prediction Method for an object of class BMA

Description

Predictions under model averaging from a BMA object

Usage

## S3 method for class 'bma}(object, newdata, top=NULL, ...)':
predictundefined
object{An object of class BMA, created by bas}
  newdata{new matrix or vector of data for predictions. May 
    include a column for the intercept or just the predictor variables}
  top{Use only the top M models, based on posterior
    probabilities}
  ...{optional extra arguments}
a list of
  Ybma{predictions using BMA}
  Ypred{matrix of predictions under each model}
  best{index of top models included}

Use BMA to form predictions using the top highest probability
  models. Currently newdata must be in the form of a matrix or vector
  with variables in the same order as in the model matrix used to obtain
  the BMA object (see object$X).  Future versions 
  will allow newdata to be a dataframe.
bas, fitted.bma
data("Hald")
hald.gprior =  bas.lm(Y~ ., data=Hald, alpha=13, prior="g-prior")
predict(hald.gprior, hald.gprior$X[,-1], top=5)
[object Object]
regression

Arguments