alsi: Aggregated Latent Space Index for Binary, Ordinal, and
Continuous Data
Provides three stability-validated pipelines for computing an
Aggregated Latent Space Index (ALSI): a binary MCA pipeline
(alsi_workflow()), an ordinal pipeline using homals alternating least
squares optimal scaling (alsi_workflow_ordinal()), and a continuous
ipsatized SVD pipeline (calsi_workflow()). All three pipelines share
a common bootstrap dual-criterion stability framework (principal angles
and Tucker congruence phi) for determining the number of dimensions
to retain before index construction. The package is designed to
complement Segmented Profile Analysis (SEPA) and is intended for
psychometric scale construction and dimensional reduction in survey
and clinical research.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
homals, stats, graphics, utils |
| Suggests: |
paran, readxl, openxlsx, testthat (≥ 3.0.0), knitr, rmarkdown, spelling |
| Published: |
2026-03-04 |
| DOI: |
10.32614/CRAN.package.alsi |
| Author: |
Se-Kang Kim  [aut,
cre] |
| Maintainer: |
Se-Kang Kim <se-kang.kim at bcm.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Language: |
en-US |
| CRAN checks: |
alsi results |
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