nlmm: Generalized Laplace Mixed-Effects Models
The nlmm package provides functions to fit linear mixed models based on convolutions of the generalized Laplace (GL) distribution. The GL mixed-effects model includes four special cases with normal random effects and normal errors (NN), normal random effects and Laplace errors (NL), Laplace random effects and normal errors (LN), and Laplace random effects and Laplace errors (LL). The methods are described in Geraci and Farcomeni (2020). See also Geraci (2017) for details on special cases. package
| Package: | nlmm |
| Type: | Package |
| Version: | 1.1.0 |
| Date: | 2023-11-24 |
| License: | GPL (>=3) |
| LazyLoad: | yes |
Marco Geraci [aut, cph, cre], Alessio Farcomeni [ctb]
Maintainer: Marco Geraci marco.geraci@uniroma1.it
Geraci M (2017). Mixed-effects models using the normal and the Laplace distributions: A 2 x 2 convolution scheme for applied research. arXiv:1712.07216v1 [stat.ME]. URL: https://arxiv.org/abs/1712.07216v1.
Geraci, M. and Farcomeni A (2020). A family of linear mixed-effects models using the generalized Laplace distribution. Statistical Methods in Medical Research 29(9), 2665-2682.
Useful links