gfilmm: Generalized Fiducial Inference for Normal Linear Mixed Models
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: |
2.0.5 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
forcats, lazyeval, Matrix, parallel, Rcpp (≥ 1.0.0), spatstat (≥ 2.0.0), spatstat.geom, stats, utils |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
AOV1R, car, emmeans, GGally, kde1d, knitr, lmerTest, rmarkdown, testthat |
| Published: |
2022-07-11 |
| 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 |
Documentation:
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