High-Performance Open-Source Archive
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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | boot, graphics, stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-04-15 |
| DOI: | 10.32614/CRAN.package.FAPA |
| Author: | Se-Kang Kim [aut, cre] |
| Maintainer: | Se-Kang Kim <se-kang.kim at bcm.edu> |
| BugReports: | https://github.com/sekangakim/FAPA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/sekangakim/FAPA |
| NeedsCompilation: | no |
| Citation: | FAPA citation info |
| Materials: | README, NEWS |
| CRAN checks: | FAPA results |
| Reference manual: | FAPA.html , FAPA.pdf |
| Vignettes: |
FAPA: A complete worked example (source, R code) |
| Package source: | FAPA_0.1.1.tar.gz |
| Windows binaries: | r-devel: FAPA_0.1.1.zip, r-release: FAPA_0.1.1.zip, r-oldrel: FAPA_0.1.1.zip |
| macOS binaries: | r-release (arm64): FAPA_0.1.1.tgz, r-oldrel (arm64): FAPA_0.1.1.tgz, r-release (x86_64): FAPA_0.1.1.tgz, r-oldrel (x86_64): FAPA_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=FAPA to link to this page.
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