FAfA copyright and third-party licensing notices

FAfA application and package
Copyright (C) 2025-2026 Abdullah Faruk KILIC and Ahmet Caliskan
License: GNU Affero General Public License, version 3 (AGPL-3)

MAP and Empirical Kaiser Criterion third-party origin
Package: EFA.dimensions, version 0.1.9.1
Original author and copyright holder: Brian P. O'Connor
Original license: GNU General Public License, version 2 or later (GPL >= 2)
Source: https://CRAN.R-project.org/package=EFA.dimensions

The upstream MAP() and EMPKC() implementations were consulted for the
factor-retention workflow. The FAfA adaptation is implemented in R/utils.r.
It accepts the complete numeric data prepared by FAfA, computes Pearson
correlations, and returns the statistics used by the FAfA interface. The
implementation was rewritten for FAfA on 2026-09-29; no upstream function
body was copied verbatim. The EKC calculation follows the observed-
eigenvalue correction published by Braeken and van Assen (2017).

Method references
O'Connor, B. P. (2000). SPSS and SAS programs for determining the number
of components using parallel analysis and Velicer's MAP test. Behavior
Research Methods, Instrumentation, and Computers, 32, 396-402.

Braeken, J., & van Assen, M. A. L. M. (2017). An empirical Kaiser
criterion. Psychological Methods, 22, 450-466.

Dynamic Fit Index third-party origin
Package: dynamic, version 1.1.0
Original authors and copyright holders: Melissa G. Wolf and Daniel McNeish
Original license: GNU Affero General Public License, version 3 (AGPL-3)
Source: https://github.com/melissagwolf/dynamic

The upstream files consulted for the Dynamic Fit Index workflow include
R/DDDFI.R, R/helper.R, and the model-specific simulation functions in the
dynamic package. The FAfA adaptation is implemented in R/dynamic_fit_utils.R
and called from R/mod_cfa_server.r.

Modification notice
The integration was rewritten for FAfA on 2026-08-01. It replaces the
upstream package-specific function dispatch, data structures, helper stack,
and external simulation dependencies with a workflow built around FAfA's
existing lavaan fit and interface. No upstream function body was copied
verbatim. The statistical method and simulation design remain attributable
to McNeish and Wolf.

Method reference
McNeish, D., & Wolf, M. G. (2023). Dynamic fit index cutoffs for
confirmatory factor analysis models. Psychological Methods, 28(1), 61-88.
https://doi.org/10.1037/met0000425

FAfA is distributed as a whole under AGPL-3. The standard license text is
available in every R installation at share/licenses/AGPL-3 and at
https://www.gnu.org/licenses/agpl-3.0.html. FAfA is provided without warranty,
including without the implied warranties of merchantability or fitness for a
particular purpose.