predict.midrq: Predictions from Mid-Quantile Regression Models

In Qtools: Utilities for Quantiles

Predictions from Mid-Quantile Regression Models

Description

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", ...)

Arguments

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.

Value

a vector or a matrix or an array of predictions.

Author(s)

Marco Geraci

See Also

residuals.midrq, midrq, coef.midrq

Qtools documentation built on Nov. 2, 2023, 6:11 p.m.