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skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence <doi:10.18637/jss.v115.i07>.
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Package details |
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| Author | Fernanda L. Schumacher [aut, cre] (ORCID: <https://orcid.org/0000-0002-5724-8918>), Larissa A. Matos [aut] (ORCID: <https://orcid.org/0000-0002-2635-0901>), Victor H. Lachos [aut] (ORCID: <https://orcid.org/0000-0002-7239-2459>), Katherine A. L. Valeriano [aut] (ORCID: <https://orcid.org/0000-0001-6388-4753>), Nicholas Henderson [ctb], Ravi Varadhan [ctb] |
| Maintainer | Fernanda L. Schumacher <fernandalschumacher@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.3 |
| URL | https://github.com/fernandalschumacher/skewlmm |
| Package repository | View on CRAN |
| Installation |
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