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fanc: Penalized Likelihood Factor Analysis via Nonconvex Penalty
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 new graphical tool which outputs path diagram, goodness-of-fit indices and model selection criteria for each regularization parameter. The user can change the regularization parameter by manipulating scrollbars, which is helpful to find a suitable value of regularization parameter.
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Package details |
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| Author | Kei Hirose [aut, cre] (<https://orcid.org/0000-0001-9827-0356>), Michio Yamamoto [aut], Haruhisa Nagata [aut] |
| Maintainer | Kei Hirose <mail@keihirose.com> |
| License | GPL (>= 2) |
| Version | 2.3.11 |
| 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://keihirose.com |
| Package repository | View on CRAN |
| Installation |
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