table.rq

latex.table.rq

plot.table.rq

Defunct Function to produce a table of quantile regression results for a group
 of specified quantiles. See <code>rq</code> which now permits multiple taus.

regression

Estimation and inference methods for models for conditional quantile functions:
Linear and nonlinear parametric and non-parametric (total variation penalized) models
for conditional quantiles of a univariate response and several methods for handling
censored survival data. Portfolio selection methods based on expected shortfall
risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press,
<doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression,
CRC Press, <doi:10.1201/9781315120256>.

Roger Koenker

quantreg

Quantile Regression

Stephen Portnoy

Blaise Melly

Achim Zeileis

Philip Grosjean

Cleve Moler

Yousef Saad

Victor Chernozhukov

Ivan Fernandez-Val

Martin Maechler

table.rq function

<dl> <dt>x</dt>
<dd>input</dd> <dt>...</dt>
<dd>other optional arguments</dd></dl>

Arguments

Table of Quantile Regression Results — table.rq

<dl>

 <dt>x</dt>
<dd>input</dd>

 <dt>...</dt>
<dd>other optional arguments</dd>

</dl>

Table of Quantile Regression Results

table.rq: Table of Quantile Regression Results

Description

Usage

Value

Arguments

See Also