# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "FAPA" in publications use:' type: software license: MIT title: 'FAPA: Factor Analytic Profile Analysis of Ipsatized Data' version: 0.1.1 identifiers: - type: doi value: 10.32614/CRAN.package.FAPA abstract: 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) . authors: - family-names: Kim given-names: Se-Kang email: se-kang.kim@bcm.edu preferred-citation: type: manual title: 'FAPA: Factor Analytic Profile Analysis of Ipsatized Data' authors: - family-names: Kim given-names: Se-Kang email: se-kang.kim@bcm.edu year: '2026' notes: R package version 0.1.0 url: https://github.com/sekangakim/FAPA repository: https://sekangakim.r-universe.dev repository-code: https://github.com/sekangakim/FAPA commit: dfc1d1391ba8316e828be1d7a3b16a8133c1ef65 url: https://github.com/sekangakim/FAPA date-released: '2026-04-08' contact: - family-names: Kim given-names: Se-Kang email: se-kang.kim@bcm.edu references: - type: article title: Factorization of person response profiles to identify summative profiles carrying central response patterns authors: - family-names: Kim given-names: Se-Kang journal: Psychological Methods year: '2023' doi: 10.1037/met0000568