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
DOI: 10.32614/CRAN.package.gfilmm
Author: Stéphane Laurent [aut, cre], Jessi Cisewski ORCID iD [aut, ctb] (author of the original Matlab code)
Maintainer: Stéphane Laurent <laurent_step at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: gfilmm results [issues need fixing before 2024-07-31]


Reference manual: gfilmm.pdf
Vignettes: The 'gfilmm' package


Package source: gfilmm_2.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gfilmm_2.0.5.tgz, r-oldrel (arm64): gfilmm_2.0.5.tgz, r-release (x86_64): gfilmm_2.0.5.tgz, r-oldrel (x86_64): gfilmm_2.0.5.tgz
Old sources: gfilmm archive


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