example_clustering

<p>An example <code>clustering</code> object. A clustering is a <code>List</code> that
splits indexes 1..#num_datapoints to clusters. Each <code>List</code> element corresponds to one cluster.
The clustering is not necessarily a partition but it usually is.</p>

Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors, e.g., clustered errors, or doubly-clustered errors.

Panos Toulis

Residual Randomization Inference for Regression Models

example_clustering function

An example <code>clustering</code> object. A clustering is a <code>List</code> that
splits indexes 1..#num_datapoints to clusters. Each <code>List</code> element corresponds to one cluster.
The clustering is not necessarily a partition but it usually is. — example_clustering

An example <code>clustering</code> object. A clustering is a <code>List</code> that
splits indexes 1..#num_datapoints to clusters. Each <code>List</code> element corresponds to one cluster.
The clustering is not necessarily a partition but it usually is.

example_clustering: An example `clustering` object. A clustering is a `List` that splits indexes 1..#num_datapoints to clusters. Each `List` element corresponds to one cluster. The clustering is not necessarily a partition but it usually is.

Description

Usage

Arguments

Value