Generalized Fiducial Inference for Low-Dimensional Robust Linear
Regression
Fiducial framework for linear regression models allowing normal, Student, Cauchy, or logistic error terms. Only low-dimensional models are possible, such as the simple linear regression model, or the one-way ANOVA model with two factor levels. Reference: Hannig, Lai & Lee (2014) <doi:10.1016/j.csda.2013.03.003>.
Rcpp, lazyeval, stats, utils, spatstat, EigenR, data.table,
parallel, memuse

Rcpp, lazyeval, stats, utils, spatstat.geom, spatstat (>=
2.0-0), EigenR, data.table, parallel, memuse

Generalized Fiducial Inference for Normal Linear Mixed Models
c(
person("Stéphane", "Laurent", role = c("aut", "cre"),
email = "laurent_step@outlook.fr"),
person("Jessi", "Cisewski", role = c("aut", "ctb"),
comment = c(
"author of the original Matlab code",
ORCID = "0000-0002-9656-2272"
))
)
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>.
Rcpp (>= 1.0.0), lazyeval, stats, spatstat, utils
kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat
Stéphane Laurent [aut, cre],
Jessi Cisewski [aut, ctb] (author of the original Matlab code,
<https://orcid.org/0000-0002-9656-2272>)

Rcpp (>= 1.0.0), lazyeval, stats, spatstat, utils, forcats,
rgr
kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R,
GGally, car, doParallel

Rcpp (>= 1.0.0), lazyeval, stats, spatstat, utils, forcats,
rgr, Matrix, parallel
kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R,
GGally, car

Rcpp (>= 1.0.0), lazyeval, stats, spatstat (>= 2.0.0),
spatstat.geom, utils, forcats, rgr, Matrix, parallel

c(
person("Stéphane", "Laurent", , "laurent_step@outlook.fr", role = c("aut", "cre")),
person("Jessi", "Cisewski", role = c("aut", "ctb"),
comment = c("author of the original Matlab code", ORCID = "0000-0002-9656-2272"))
)
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>.
forcats, lazyeval, Matrix, parallel, Rcpp (>= 1.0.0), spatstat
(>= 2.0.0), spatstat.geom, stats, utils
AOV1R, car, emmeans, GGally, kde1d, knitr, lmerTest,
rmarkdown, testthat