Files: R/auto_correlate.R
Copyright: 2024 Hudson Golino and Alexander P. Christensen
           John Fox (two-step polyserial approximation in polyserial_vector,
           derived from polycor::polyserial)
License: GPL (>= 2)
Comment: The polyserial_vector function uses a two-step approximation
 derived from the polyserial function in the polycor R package
 by John Fox. Modified by Alexander P. Christensen, 16 March 2024.
 
Files: R/glla.R
Copyright: 2024 Hudson Golino and Alexander P. Christensen
           Pascal Deboeck and Steve Boker (original GLLA implementation)
License: GPL (>= 2)
Comment: The glla function was obtained from Pascal Deboeck on 30 September 2019
 via email. This code has since been modified to fulfill the EGAnet package's
 objectives. Original code is provided by Pascal Deboeck and Steve Boker
 <https://intraindividual.com/2009/03/derivative-variability-analysis/>.
 No official copyright license was provided in the exchange.
 Modified by Alexander P. Christensen, 24 November 2025.
 
Files: R/helpers.R
Copyright: 2024 Hudson Golino and Alexander P. Christensen
           Brian Ripley and Bill Venables (original mvrnorm implementation)
License: GPL (>= 2)
Comment: The mvrnorm_precompute and MASS_mvrnorm_quick functions are 
 derived from the mvrnorm function in the MASS R package
 by Brian Ripley and Bill Venables. Modified by Alexander P. Christensen, 27 July 2023.

Files: R/network.fit.R
Copyright: 2024 Hudson Golino and Alexander P. Christensen
           Yves Rosseel (rmsea_ci function, derived from lavaan version 0.6.19)
License: GPL (>= 2)
Comment: The rmsea_ci function is derived from RMSEA confidence interval
 code in the lavaan R package (version 0.6.19) by Yves Rosseel. Modified 
 by Alexander P. Christensen, 01 November 2024.

Files: src/polychoric_matrix.c
Copyright: 2023 Hudson Golino and Alexander P. Christensen
           Alexander Robitzsch (Drezner-Wesolowsky bivariate normal CDF,
           translated from pbv/src/pbv_rcpp_bvnorm.cpp)
License: GPL (>= 2)
Comment: Implements polychoric correlations using the Beasley-Springer-Moro
 inverse normal CDF and Brent's optimization method. The Drezner-Wesolowsky
 bivariate normal CDF is translated from C++ code in the pbv R package
 (https://github.com/cran/pbv/blob/master/src/pbv_rcpp_bvnorm.cpp).
 Template developed with GPT-4 assistance.

Files: src/xoshiro.c
Copyright: 2019 David Blackman and Sebastiano Vigna (vigna@acm.org)
License: CC0
Comment: Dedicated to the public domain via CC0. No rights reserved. Modified by Alexander P. Christensen, 15 August 2023.

Files: src/ziggurat.c
Copyright: John Burkardt
License: LGPL (>= 2)
Comment: Original ziggurat implementation. Modified by Alexander P. Christensen, 30 July 2023.