skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using either an expectation–maximization (EM) type algorithm or its accelerated version (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including some possibilities for modeling the within-subject dependence <doi:10.18637/jss.v115.i07>.
| Version: | 1.1.3 |
| Depends: | R (≥ 4.4), optimParallel |
| Imports: | dplyr, ggplot2, methods, stats, future, ggrepel, haven, mvtnorm, nlme, purrr, furrr, matrixcalc, moments, numDeriv, MomTrunc, TruncatedNormal |
| Published: | 2026-01-18 |
| DOI: | 10.32614/CRAN.package.skewlmm |
| Author: | Fernanda L. Schumacher
 [aut, cre],
Larissa A. Matos
[aut],
Victor H. Lachos
[aut],
Katherine A. L. Valeriano
[aut],
Nicholas Henderson [ctb],
Ravi Varadhan [ctb] |
| 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 |
| Citation: | skewlmm citation info |
| Materials: | README, NEWS |
| In views: | MixedModels, Robust |
| CRAN checks: | skewlmm results |
Documentation:
| Reference manual: | skewlmm.html , skewlmm.pdf |
Downloads:
| Package source: | skewlmm_1.1.3.tar.gz |
| Windows binaries: | r-devel: skewlmm_1.1.3.zip, r-release: skewlmm_1.1.3.zip, r-oldrel: skewlmm_1.1.3.zip |
| macOS binaries: | r-release (arm64): skewlmm_1.1.3.tgz, r-oldrel (arm64): skewlmm_1.1.3.tgz, r-release (x86_64): skewlmm_1.1.3.tgz, r-oldrel (x86_64): skewlmm_1.1.3.tgz |
| Old sources: | skewlmm archive |
Linking:
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