Factor Analytic Profile Analysis of Ipsatized Data R package FAPA version 0.1.1 Implements Factor Analytic Profile Analysis of Ipsatized Data ('FAPA'), a metric inferential framework for pattern detection and person-level reconstruction in multivariate profile data. After row-centering (ipsatization) to remove profile elevation, 'FAPA' applies singular value decomposition ('SVD') to recover shared core profiles and individual pattern weights. Dimensionality is determined by a variance-matched Horn's parallel analysis. A three-stage bootstrap verification framework assesses (1) dimensionality via parallel analysis, (2) subspace stability via Procrustes principal angles, and (3) profile replicability via Tucker's congruence coefficients. BCa bootstrap confidence intervals for core-profile coordinates are computed via the canonical 'boot' package implementation of Davison and Hinkley (1997) <doi:10.1017/CBO9780511802843>. Software Depends: R (>= 4.1.0) Imports: boot, graphics, stats, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Se-Kang Kim <se-kang.kim@bcm.edu> Comprehensive R Archive Network (CRAN) Se-Kang Kim [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=FAPA/LICENSE) 2026-04-15 application/tgz https://CRAN.R-project.org/package=FAPA doi:10.32614/CRAN.package.FAPA