print.GOFTest

Print an object generated by <code>GOFTest</code>.

print

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

print.GOFTest function

<dl> <dt>x</dt>
<dd>an <code>GOFTest</code> object.</dd> <dt>digits</dt>
<dd>a non-null value for digits specifies the minimum number of significant digits to be printed in values.</dd>
 <dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Print Goodness-of-Fit Test for Quantile Regression Models — print.GOFTest

<dl>

 <dt>x</dt>
<dd>an <code>GOFTest</code> object.</dd>

 <dt>digits</dt>
<dd>a non-null value for digits specifies the minimum number of significant digits to be printed in values.</dd>


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

</dl>

print.GOFTest: Print Goodness-of-Fit Test for Quantile Regression Models

Description

Usage

Arguments

Author

See Also