It fits scale mixture of skew-normal linear mixed models using either an expectationâmaximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.
Version: 1.1.2 Depends: R (≥ 4.3), optimParallel Imports: dplyr, ggplot2, methods, stats, future, ggrepel, haven, mvtnorm, nlme, purrr, furrr, matrixcalc, moments, numDeriv, relliptical, MomTrunc, TruncatedNormal Published: 2024-12-15 DOI: 10.32614/CRAN.package.skewlmm Author: Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut], Katherine A. L. Valeriano [aut], Nicholas Henderson [ctb], Ravi Varadhan [ctb] Maintainer: Fernanda L. Schumacher <fernandalschumacher at gmail.com> BugReports: https://github.com/fernandalschumacher/skewlmm/issues License: MIT + file LICENSE URL: https://github.com/fernandalschumacher/skewlmm NeedsCompilation: no Materials: README, NEWS In views: MixedModels, Robust CRAN checks: skewlmm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=skewlmm to link to this page.
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