weighted.quantile

An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) <doi:10.48550/arXiv.2005.14458>.

Jeffrey Naf

Distributional Random Forests

Loris Michel

Domagoj Cevid

weighted.quantile function

<dl><dt>x</dt>
<dd>a vector of observations</dd>
<dt>w</dt>
<dd>a vector of weights</dd>
<dt>probs</dt>
<dd>the given probabilities for which we want to get quantiles</dd>
<dt>na.rm</dt>
<dd>should we remove missing values.</dd></dl>

Arguments

Weighted quantiles — weighted.quantile

<dl>

<dt>x</dt>
<dd>a vector of observations</dd>


<dt>w</dt>
<dd>a vector of weights</dd>


<dt>probs</dt>
<dd>the given probabilities for which we want to get quantiles</dd>


<dt>na.rm</dt>
<dd>should we remove missing values.</dd>

</dl>

weighted.quantile: Weighted quantiles

Description

Usage

Arguments