print.RLT

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

print.RLT function

<dl><dt>x</dt>
<dd>A fitted RLT object</dd>
<dt>...</dt>
<dd>...</dd></dl>

Arguments

Print a RLT object — print.RLT

<dl>

<dt>x</dt>
<dd>A fitted RLT object</dd>


<dt>...</dt>
<dd>...</dd>

</dl>

print.RLT: Print a RLT object

Description

Usage

Value

Arguments

Examples