confint.midquantile

Compute mid-quantiles confidence intervals

 unconditional quantiles 

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

confint.midquantile function

<dl> <dt>object</dt>
<dd>an object of class <code>midquantile</code>.</dd> <dt>parm</dt>
<dd>not used (included for consistency with <code><a href="/link/confint.default?package=Qtools&version=1.5.8" data-mini-rdoc="Qtools::confint.default">confint.default</a></code>).</dd> <dt>level</dt>
<dd>nominal coverage level of the confidence interval.</dd>
 <dt>...</dt>
<dd>not used.</dd>
</dl>

Arguments

Author

Mid-distribution Functions — confint.midquantile

<dl>

 <dt>object</dt>
<dd>an object of class <code>midquantile</code>.</dd>

 <dt>parm</dt>
<dd>not used (included for consistency with <code><a href='https://rdrr.io/r/stats/confint.html'>confint.default</a></code>).</dd>

 <dt>level</dt>
<dd>nominal coverage level of the confidence interval.</dd>


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


</dl>

confint.midquantile: Mid-distribution Functions

Description

Usage

Arguments

Author

References

Examples