Package: fanc Type: Package Title: Penalized Likelihood Factor Analysis via Nonconvex Penalty Version: 2.4.0 Date: 2026-07-26 Authors@R: c(person(given = "Kei", family = "Hirose", role = c("aut", "cre"), email = "mail@keihirose.com", comment = c(ORCID = "0000-0001-9827-0356")), person(given = "Michio", family = "Yamamoto", role = "aut", email = "yamamoto.michio.hus@osaka-u.ac.jp"), person(given = "Haruhisa", family = "Nagata", role = "aut")) Depends: Matrix Imports: grDevices, graphics, stats, utils Description: Computes the penalized maximum likelihood estimates of factor loadings and unique variances for various tuning parameters. The pathwise coordinate descent along with EM algorithm is used. This package also includes a graphical tool which outputs path diagrams, heatmaps, goodness-of-fit indices and model selection criteria for each regularization parameter (Yamamoto, M., Hirose, K. and Nagata, H., 2017 ). The user can change the regularization parameter interactively with a built-in self-contained HTML viewer (no additional packages required), which is helpful to find a suitable value of regularization parameter. As a penalty, we can choose either the minimax concave penalty (Hirose, K. and Yamamoto, M., 2015 ; Hirose, K. and Yamamoto, M., 2014 ) or the product-based elastic net penalty (Hirose, K. and Terada, Y., 2023 ). License: GPL (>= 2) URL: https://doi.org/10.1007/s11222-014-9458-0, https://doi.org/10.1016/j.csda.2014.05.011, https://doi.org/10.1007/s41237-016-0007-3, https://doi.org/10.1007/s11336-022-09868-4, https://keihirose.com NeedsCompilation: yes Packaged: 2026-10-03 10:01:14 UTC; root Author: Kei Hirose [aut, cre] (ORCID: ), Michio Yamamoto [aut], Haruhisa Nagata [aut] Maintainer: Kei Hirose Repository: https://keihirose.r-universe.dev Date/Publication: 2026-07-26 07:10:02 UTC RemoteUrl: https://github.com/cran/fanc RemoteRef: HEAD RemoteSha: d4bae15fb3d34d67f6915ee963cffe2906067dc1