Simulation of the generalized fiducial distribution for normal linear mixed models with interval data. Fiducial inference is somehow similar to Bayesian inference, in the sense that it is based on a distribution that represents the uncertainty about the parameters, like the posterior distribution in Bayesian statistics. It does not require a prior distribution, and it yields results close to frequentist results. Reference: Cisewski and Hannig (2012) <doi:10.1214/12-AOS1030>.
| Version: |
2.0.4 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
Rcpp (≥ 1.0.0), lazyeval, stats, spatstat (≥ 2.0.0), spatstat.geom, utils, forcats, rgr, Matrix, parallel |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R, GGally, car |
| Published: |
2021-06-25 |
| Author: |
Stéphane Laurent [aut, cre],
Jessi Cisewski 
[aut, ctb] (author of the original Matlab code) |
| Maintainer: |
Stéphane Laurent <laurent_step at outlook.fr> |
| BugReports: |
https://github.com/stla/gfilmm/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/stla/gfilmm |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
gfilmm results |