Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Fernanda L. Schumacher [aut, cre] (<https://orcid.org/0000-0002-5724-8918>), Larissa A. Matos [aut] (<https://orcid.org/0000-0002-2635-0901>), Victor H. Lachos [aut] (<https://orcid.org/0000-0002-7239-2459>), Katherine A. L. Valeriano [aut] (<https://orcid.org/0000-0001-6388-4753>), Nicholas Henderson [ctb], Ravi Varadhan [ctb] |
| Maintainer | Fernanda L. Schumacher <fernandalschumacher@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | https://github.com/fernandalschumacher/skewlmm |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the skewlmm package in your browser
Any scripts or data that you put into this service are public.
