MuteRate

Get the muting rate based on sample size <code>N</code> and dimension <code>P</code>. This is an experimental feature. When P is too small, this is not recommended.

Random forest with a variety of additional features for regression, classification and survival analysis.
The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable,
based on Zhu, Zeng & Kosorok (2015) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight,
tracking subjects used in each tree, etc.

Ruoqing Zhu

Reinforcement Learning Trees

MuteRate function

<dl><dt>N</dt>
<dd>sample size</dd>
<dt>P</dt>
<dd>dimension</dd>
<dt>speed</dt>
<dd>Muting speed: moderate or aggressive</dd>
<dt>info</dt>
<dd>Whether to output detailed information</dd></dl>

Arguments

Muting rate — MuteRate

<dl>

<dt>N</dt>
<dd>sample size</dd>


<dt>P</dt>
<dd>dimension</dd>


<dt>speed</dt>
<dd>Muting speed: moderate or aggressive</dd>


<dt>info</dt>
<dd>Whether to output detailed information</dd>

</dl>

MuteRate: Muting rate

Description

Usage

Value

Arguments

Examples