print.summary.regL1

Print summary of linear L1 regression object.

Diagnostics for linear L1 regression (also known as LAD - Least Absolute Deviations), including: estimation, confidence intervals, tests of hypotheses, measures of leverage, methods of diagnostics for L1 regression, special diagnostics graphs and measures of leverage. The algorithms are based in Dielman (2005) <doi:10.1080/0094965042000223680>, Elian et al. (2000) <doi:10.1080/03610920008832518> and Dodge (1997) <doi:10.1006/jmva.1997.1666>. This package builds on the 'quantreg' package, which is a well-established package for tuning quantile regression models. There are also tests to verify if the errors have a Laplace distribution based on the work of Puig and Stephens (2000) <doi:10.2307/1270952>.

Kevin Rodrigues

diagL1

Routines for Fit, Inference and Diagnostics in Linear L1 and LAD
Models

Kevin Allan Sales Rodrigues

Silvia Nagib Elian

print.summary.regL1 function

<dl><dt>x</dt>
<dd>This is an object of class "<code>summary.regL1</code>" produced by a call to <code>summary.regL1()</code>.</dd>
<dt>digits</dt>
<dd>Significant digits reported in the printed table.</dd>
<dt>...</dt>
<dd>Optional arguments.</dd></dl>

Arguments

Print Linear L1 Regression Summary Object — print.summary.regL1

<dl>

<dt>x</dt>
<dd>This is an object of class "<code>summary.regL1</code>" produced by a call to <code>summary.regL1()</code>.</dd>


<dt>digits</dt>
<dd>Significant digits reported in the printed table.</dd>


<dt>...</dt>
<dd>Optional arguments.</dd>

</dl>

print.summary.regL1: Print Linear L1 Regression Summary Object

Description

Usage

Value

Arguments