A pluggable package for forest-based statistical estimation and inference.
GRF currently provides methods for non-parametric least-squares regression,
quantile regression, survival regression and treatment effect estimation (optionally using instrumental
variables), with support for missing values.

Generalized Random Forests

package-ubuntu-20.04-r-4.0.5#cran#grf-1.2.0

## S3 method for class 'grf_tree'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>The tree to print.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Additional arguments (currently ignored).</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#grf-1.2.0#docs#print.grf_tree

print.grf_tree

Description

Usage

Arguments

grf

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`x`	The tree to print.
`...`	Additional arguments (currently ignored).