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: 0.2.3
Depends: R (≥ 3.4.0)
Imports: dplyr, ggplot2, moments, mvtnorm, nlme, numDeriv, purrr
Published: 2021-02-03
Author: Fernanda L. Schumacher ORCID iD [aut, cre], Larissa A. Matos ORCID iD [aut], Victor H. Lachos ORCID iD [aut]
Maintainer: Fernanda L. Schumacher <fernandalschumacher at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: Robust
CRAN checks: skewlmm results


Reference manual: skewlmm.pdf
Package source: skewlmm_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: skewlmm_0.2.3.tgz, r-oldrel: skewlmm_0.2.3.tgz
Old sources: skewlmm archive


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