Predict method for moultmcmc models

# S3 method for moultmcmc
predict(
  object,
  newdata = NULL,
  predict.type = "parameters",
  summary = TRUE,
  intervals = 0.1,
  prob = 0.95,
  ...
)

Arguments

object: a fitted moultmcmc model
newdata: data.frame with explanatory variables for which to make predictions
predict.type: specifies form of predictions, see details.
summary: logical, if TRUE (default) return a data.frame of posterior means, otherwise return a list of arrays of the full posterior sample of the predicted quantity (with one list element per predicted quantity and array dimensions nrow(newdata) *number or posterior draws)
intervals: not currently used
prob: nominal coverage probability of credible interval
...: further arguments

Value

a data.frame or list, depending on input arguments