fernandalschumacher/lmmsmsn: 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. Details can be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | Fernanda L. Schumacher <fernandalschumacher@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.3 |
| URL | https://github.com/fernandalschumacher/skewlmm |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
