normahalo

Computes a normalized Mahalanobis distance score. Only features with nonzero scores in S
receive nonzero Mahalanobis scores.

A collection of large language model (LLM) text analysis methods
designed with psychological data in mind. Currently, LLMing (aka "lemming")
includes a text anomaly detection method based on the angle-based subspace
approach described by Zhang, Lin, and Karim (2015) and a text generation method.
<doi:10.1016/j.ress.2015.05.025>.

Lindley Slipetz

LLMing

Large Language Model (LLM) Tools for Psychological Text Analysis

Teague Henry

Siqi Sun

normahalo function

<dl><dt>z</dt>
<dd>Dataframe of z scores</dd>
<dt>rs</dt>
<dd>List of reference sets</dd>
<dt>S</dt>
<dd>Dataframe of numeric values</dd></dl>

Arguments

Local outlier score — normahalo

<dl>

<dt>z</dt>
<dd>Dataframe of z scores</dd>


<dt>rs</dt>
<dd>List of reference sets</dd>


<dt>S</dt>
<dd>Dataframe of numeric values</dd>

</dl>

normahalo: Local outlier score

Description

Usage

Value

Arguments