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 (2020) <arXiv:2002.01040>.

Version: 0.2.1
Depends: R (≥ 3.4.0)
Imports: dplyr, ggplot2, moments, mvtnorm, nlme, numDeriv, purrr, rlist
Published: 2020-07-06
Author: Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut]
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
CRAN checks: skewlmm results

Downloads:

Reference manual: skewlmm.pdf
Package source: skewlmm_0.2.1.tar.gz
Windows binaries: r-devel: skewlmm_0.2.0.zip, r-release: skewlmm_0.2.0.zip, r-oldrel: skewlmm_0.2.0.zip
macOS binaries: r-release: skewlmm_0.2.0.tgz, r-oldrel: skewlmm_0.2.0.tgz
Old sources: skewlmm archive

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