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
[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 [issues need fixing before 2024-07-31] |