predict.rrq

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

 predict

Functions for unconditional and conditional quantiles. These
include methods for transformation-based quantile regression,
quantile-based measures of location, scale and shape, methods for quantiles
of discrete variables, quantile-based multiple imputation, restricted
quantile regression, directional quantile classification, and quantile
ratio regression.
A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.

Marco Geraci

Qtools

Utilities for Quantiles

Alessio Farcomeni

Cinzia Viroli

predict.rrq function

<dl> <dt>object</dt>
<dd>an object of <code><a href="/link/class?package=Qtools&version=1.5.8" data-mini-rdoc="Qtools::class">class</a></code> <code>rrq</code>.</dd> <dt>newdata</dt>
<dd>an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd> <dt>na.action</dt>
<dd>function determining what should be done with missing values in <code>newdata</code>. The default is to predict <code>NA</code>.</dd> <dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Predictions from Restricted Quantile Regression Models — predict.rrq

<dl>

 <dt>object</dt>
<dd>an object of <code><a href='https://rdrr.io/r/base/class.html'>class</a></code> <code>rrq</code>.</dd>

 <dt>newdata</dt>
<dd>an optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>

 <dt>na.action</dt>
<dd>function determining what should be done with missing values in <code>newdata</code>. The default is to predict <code>NA</code>.</dd>

 <dt>...</dt>
<dd>not used.</dd>

</dl>

predict.rrq: Predictions from Restricted Quantile Regression Models

Description

Usage

Value

Arguments

Author