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) .

gfilmm

Simulation of the generalized fiducial distribution for normal linear mixed models with interval data.

• To install the CRAN version:

install.packages("gfilmm")

• To install the development version:

remotes::install_github("stla/gfilmm", build_vignettes = TRUE)

• To install the development version allowing to run the algorithm in quadruple precision:

remotes::install_github("stla/gfilmm@mp", build_vignettes = TRUE)