skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models

It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, 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: 1.1.0
Depends: R (≥ 4.2), optimParallel
Imports: dplyr, furrr, future, ggplot2, ggrepel, haven, matrixcalc, methods, moments, MomTrunc, mvtnorm, nlme, numDeriv, purrr, relliptical, TruncatedNormal
Published: 2023-06-30
DOI: 10.32614/CRAN.package.skewlmm
Author: Fernanda L. Schumacher ORCID iD [aut, cre], Larissa A. Matos ORCID iD [aut], Victor H. Lachos ORCID iD [aut], Katherine A. L. Valeriano ORCID iD [aut], Nicholas Henderson [ctb], Ravi Varadhan [ctb]
Maintainer: Fernanda L. Schumacher <fernandalschumacher at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels, Robust
CRAN checks: skewlmm results


Reference manual: skewlmm.pdf


Package source: skewlmm_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): skewlmm_1.1.0.tgz, r-oldrel (arm64): skewlmm_1.1.0.tgz, r-release (x86_64): skewlmm_1.1.0.tgz, r-oldrel (x86_64): skewlmm_1.1.0.tgz
Old sources: skewlmm archive


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