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, Matos and Lachos (2020) <arXiv:2002.01040>.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: dplyr, moments, mvtnorm, nlme, numDeriv, purrr, ggplot2
Published: 2020-03-02
Author: Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut]
Maintainer: Fernanda L. Schumacher <fernandalschumacher at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: skewlmm results


Reference manual: skewlmm.pdf
Package source: skewlmm_0.1.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: skewlmm_0.1.0.tgz, r-oldrel: skewlmm_0.1.0.tgz


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