export_graphviz

Export a tree in DOT format.
This function generates a GraphViz representation of the tree,
which is then written into `dot_string`.

internal

Forest-based statistical estimation and inference.
GRF provides non-parametric methods for heterogeneous treatment effects estimation
(optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables),
as well as least-squares regression, quantile regression, and survival regression,
all with support for missing covariates.

Erik Sverdrup

Generalized Random Forests

Julie Tibshirani

Susan Athey

Rina Friedberg

Vitor Hadad

David Hirshberg

Luke Miner

Stefan Wager

Marvin Wright

export_graphviz function

<dl><dt>tree</dt>
<dd>the tree to convert</dd>
<dt>include.na.path</dt>
<dd>A boolean toggling whether to include the path of missing values or not.</dd></dl>

Arguments

Export a tree in DOT format.
This function generates a GraphViz representation of the tree,
which is then written into `dot_string`. — export_graphviz

<dl>

<dt>tree</dt>
<dd>the tree to convert</dd>


<dt>include.na.path</dt>
<dd>A boolean toggling whether to include the path of missing values or not.</dd>

</dl>

Export a tree in DOT format.
This function generates a GraphViz representation of the tree,
which is then written into `dot_string`.

export_graphviz: Export a tree in DOT format. This function generates a GraphViz representation of the tree, which is then written into `dot_string`.

Description

Usage

Arguments