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FAPA  

Factor Analytic Profile Analysis of Ipsatized Data
View on CRAN: Click here


Download and install FAPA package within the R console
Install from CRAN:
install.packages("FAPA")

Install from Github:
library("remotes")
install_github("cran/FAPA")

Install by package version:
library("remotes")
install_version("FAPA", "0.1.1")



Attach the package and use:
library("FAPA")
Maintained by
Se-Kang Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-15
Latest Update: 2026-04-15
Description:
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>.
How to cite:
Se-Kang Kim (2026). FAPA: Factor Analytic Profile Analysis of Ipsatized Data. R package version 0.1.1, https://cran.r-project.org/web/packages/FAPA. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for FAPA
Functions, R codes and Examples using the FAPA R package
Full FAPA package functions and examples
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