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 |
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 |
Reference manual: | gfilmm.pdf |
Vignettes: |
The 'gfilmm' package |
Package source: | gfilmm_2.0.4.tar.gz |
Windows binaries: | r-devel: gfilmm_2.0.4.zip, r-devel-UCRT: gfilmm_2.0.4.zip, r-release: gfilmm_2.0.3.zip, r-oldrel: gfilmm_2.0.4.zip |
macOS binaries: | r-release (arm64): gfilmm_2.0.4.tgz, r-release (x86_64): gfilmm_2.0.4.tgz, r-oldrel: gfilmm_2.0.4.tgz |
Old sources: | gfilmm archive |
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