Package: alsi 0.2.0

Se-Kang Kim

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.

Authors:Se-Kang Kim [aut, cre]

alsi_0.2.0.tar.gz
alsi_0.2.0.tar.gz(r-4.7-any)alsi_0.2.0.tar.gz(r-4.6-any)
alsi_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
alsi/json (API)

# Install 'alsi' in R:
install.packages('alsi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ANR2 - ANR2: Binary Psychiatric Comorbidity Dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 488 downloads 17 exports 7 dependencies

Last updated from:afa263e4db. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK168
linux-release-x86_64OK126
wasm-releaseOK143

Exports:alsialsi_workflowalsi_workflow_ordinalcalsicalsi_vs_sepa_democalsi_workflowcompare_sepa_calsimca_alignmca_bootstrapmca_paplot_category_projectionsplot_domain_loadingsplot_subspace_stabilityplot_subspace_stability_contsvd_alignsvd_bootstrapsvd_pa

Dependencies:apedigesthomalslatticenlmeRcppscatterplot3d