two or more fitted glm objects, or a list of such, or an "averaging" object.

a data frame containing the variables in the model. It is optional if all models are glm.

a character string specifying the function to minimize. Either "rmse" or "loglik".

used only if type = "loglik", a family object to be used for likelihood calculation. Not needed if all models share the same family and link function.

an optional vector of ‘prior weights’ to be used in the model fitting process. Should be NULL or a numeric vector.

optional, optimisation method, passed to optim.

optional, the maximum number of iterations, passed to optim.

optional list of other arguments passed to optim.

starting values for model weights. Numeric of length equal the number of models.

for glm, the glm.fit function is used for fitting models to the train data, which is much more efficient. Set to TRUE to use update instead.

either a boolean value, then if TRUE a jackknifed prediction matrix is returned and if FALSE a vector of jackknifed model weights, or a N×M matrix (number of cases × number of models) that is interpreted as a jackknifed prediction matrix and it is used for optimisation (i.e. the jackknife procedure is skipped).