alsi: Aggregated Latent Space Index for Multiple Correspondence Analysis

Overview

The alsi package provides tools for stability-validated aggregation in Multiple Correspondence Analysis (MCA). It addresses the challenge of dimensional multiplicity by computing the Aggregated Latent Space Index (ALSI), a person-level summary measure derived from validated MCA dimensions.

Installation

You can install the released version of alsi from CRAN with:

install.packages("alsi")

Or install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("sekangkim/alsi")

Features

• Parallel Analysis: Automated dimensionality assessment for MCA
• Bootstrap Stability Diagnostics: Subspace and dimension-level reproducibility testing
• ALSI Computation: Variance-weighted aggregation across stable dimensions
• Visualization Tools: Diagnostic plots and category projections
• Complete Workflow: Automated pipeline from data to interpretation

Quick Example

library(alsi)

# Load example data
data(ANR2)
vars <- c("MDD", "DYS", "DEP", "PTSD", "OCD", "GAD", "ANX", "SOPH", "ADHD")

# Run complete workflow
results <- alsi_workflow(
  data = ANR2,
  vars = vars,
  B_pa = 2000,      # Parallel analysis permutations
  B_boot = 2000,    # Bootstrap resamples
  seed = 20260123
)

# Extract ALSI values
alpha_values <- results$alsi$alpha
summary(alpha_values)

Citation

If you use this software in published research, please cite:

Kim, S.-K. (2026). alsi: Aggregated Latent Space Index for Multiple Correspondence Analysis (R package version 0.1.1).

License

GPL-3

Author

Se-Kang Kim
Department of Pediatrics
Baylor College of Medicine
se-kang.kim@bcm.edu