A Toolkit for Archetypal Analysis Methods // Fits archetypal analysis models, including Euclidean, probabilistic, kernel, and directional variants. Methods include classical archetypal analysis from Cutler and Breiman (1994) doi:10.1080/00401706.1994.10485840, PCHA and kernel variants from Mrup and Hansen (2012) doi:10.1016/j.neucom.2011.06.033, probabilistic archetypal analysis from Seth and Eugster (2016) doi:10.1007/s10994-015-5498-8, directional archetypal analysis from Olsen et al. (2022) doi:10.3389/fnins.2022.911034, AA++ initialization from Mair and Sjlund (2023) doi:10.48550/arXiv.2301.13748, coreset-style initialization from Mair and Brefeld (2019) https://proceedings.neurips.cc/pap er_files/paper/2019/file/7f278ad602c7f47aa76d1bfc90f20263- Paper.pdf, and adapted AIC from Suleman (2017) doi:10.1109/FUZZ-IEEE.2017.8015385. Provides initialization helpers, model selection paths, plotting methods, 'broom' methods, and a 'tidymodels' recipe step.