plot.FACT

Generates a visual plot of the FACT tree structure.

Implements the Factor-Augmented Clustering Tree (FACT) algorithm
for clustering time series data. The method constructs a classification
tree where splits are determined by covariates, and the splitting criterion
is based on a group factor model representation of the time series within
each node. Both threshold-based and permutation-based tests are supported
for splitting decisions, with an option for parallel computation.
For methodological details, see Hu, Li, Luo, and Wang (2025, in preparation),
Factor-Augmented Clustering Tree for Time Series.

Jiaqi Hu

factree

Factor-Augmented Clustering Tree

Ting Li

Zidan Luo

Xueqin Wang

plot.FACT function

<dl><dt>x</dt>
<dd>An object of class `FACT`, typically the result of a call to `FACT()`.</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Plot a FACT Tree Object — plot.FACT

<dl>

<dt>x</dt>
<dd>An object of class `FACT`, typically the result of a call to `FACT()`.</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

plot.FACT: Plot a FACT Tree Object

Description

Usage

Value

Arguments