process_sequence_embedding: Low-dimensional embedding of response-process sequences

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Low-dimensional embedding of response-process sequences

Description

Uses TF-IDF-weighted n-gram features and truncated SVD. This is a transparent classical embedding; sequence autoencoders can be supplied later through an external engine without changing the downstream contract.

Usage

process_sequence_embedding(sequence, n = c(1L, 2L, 3L), dimensions = 5L)

Arguments

sequence	Sequence input.
n	Requested count or n-gram order, depending on context.
dimensions	Number of embedding dimensions.

Value

An R object containing low-dimensional embedding of response-process sequences. The concrete class and structure follow the selected method, engine, or input object and are preserved as documented by that workflow.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.