Munge

function to recursively substitute arguments into rqss formula

~manip

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

Munge function

<dl> <dt>formula</dt>
<dd>A rqss formula</dd> <dt>...</dt>
<dd>Arguments to be substituted into formula</dd></dl>

Arguments

Munge rqss formula — Munge

<dl>

 <dt>formula</dt>
<dd>A rqss formula</dd>

 <dt>...</dt>
<dd>Arguments to be substituted into formula</dd>

</dl>

Munge rqss formula

Munge: Munge rqss formula

Description

Usage

Value

Arguments

Details

See Also

Examples