Predictions from Mid-Quantile Regression Models

This function computes predictions based on fitted mid-quantile regression models.

Usage

# S3 method for class 'midrq'
predict(object, newdata, offset, na.action = na.pass,
  type = "response", ...)

object: an object of class midrq.
newdata: an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
offset: an optional offset to be included in the model frame (when newdata is provided).
na.action: function determining what should be done with missing values in newdata. The default is to predict NA.
type: the type of prediction required. The default "response" is on the scale of the response variable, i.e. the values are back-transformed using the inverse of the transformation \(h^{-1}(Xb)\); the alternative "link" is on the scale of the linear predictors \(h(y) = Xb\).
...: not used.

a vector or a matrix or an array of predictions.

Marco Geraci