Predictions from Quantile Regression Transformation Models

This function computes predictions based on fitted quantile regression transformation models.

Usage

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

object: an object of class rqt.
newdata: an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
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 \(h(y) = Xb\); finally, predictions for marginal effects are given with "maref".
namevec: character giving the name of the covariate with respect to which the marginal effect is to be computed. If type = "maref", this argument is required. See maref.rqt.
...: not used.

a vector or a matrix or an array of predictions.

Marco Geraci