[aut, ctb] (author of the original Matlab code)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: | 1.0.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 1.0.0), lazyeval, stats, spatstat, utils, forcats, rgr |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R, GGally, car, doParallel |
| Published: | 2020-11-13 |
| Author: | Stéphane Laurent [aut, cre],
Jessi Cisewski
[aut, ctb] (author of the original Matlab code) |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README NEWS |
| CRAN checks: | gfilmm results |
| Reference manual: | gfilmm.pdf |
| Vignettes: |
The 'gfilmm' package |
| Package source: | gfilmm_1.0.1.tar.gz |
| Windows binaries: | r-devel: gfilmm_1.0.1.zip, r-release: gfilmm_1.0.1.zip, r-oldrel: gfilmm_1.0.1.zip |
| macOS binaries: | r-release: gfilmm_1.0.1.tgz, r-oldrel: gfilmm_1.0.1.tgz |
| Old sources: | gfilmm archive |
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