FAPA 0.1.0 (2026-03-20)
Initial release
fapa_core(): SVD-based core profile estimation with
sign normalisation and variance decomposition.load_and_ipsatize(): CSV loading and
row-centering.- Three-stage bootstrap verification framework:
- Stage 1
fapa_pa(): variance-matched Horn’s parallel
analysis.
- Stage 2
fapa_procrustes(): subspace stability via
Procrustes principal angles.
- Stage 3
fapa_tucker(): profile replicability via
Tucker’s congruence coefficients.
fapa_bca(): BCa bootstrap confidence intervals for
core-profile coordinates via boot::boot.ci().fapa_person(): person-level reconstruction, pattern
weights, and optional bootstrap CIs for selected participants.- Formatted print methods:
print_pa(),
print_procrustes(), print_tucker().
- Plotting functions:
plot_fapa_core(),
plot_pa_scree(), plot_person_match(),
plot_principal_angles(),
plot_tucker_cc().
- CSV output helpers:
write_fapa_results(),
write_verification().