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: |
1.0.0 |
Depends: |
R (≥ 4.0), optimParallel |
Imports: |
dplyr, ggplot2, moments, mvtnorm, nlme, numDeriv, purrr, ggrepel, furrr, future, haven |
Published: |
2021-09-18 |
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 NEWS |
In views: |
Robust |
CRAN checks: |
skewlmm results |
Documentation:
Downloads:
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