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) .


Reference manual

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2.0.4 by St├ęphane Laurent, 7 months ago

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Authors: St├ęphane Laurent [aut, cre] , Jessi Cisewski [aut, ctb] (author of the original Matlab code ,

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, lazyeval, stats, spatstat, spatstat.geom, utils, forcats, rgr, Matrix, parallel

Suggests kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R, GGally, car

Linking to Rcpp, RcppEigen

System requirements: C++11

See at CRAN