Title: Generalized Fiducial Inference for Low-Dimensional Linear
Description: 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, the quadratic regression model, or the one-way ANOVA model with two or three factor levels. Reference: Hannig, Lai & Lee (2014) <doi:10.1016/j.csda.2013.03.003>.
Imports: Rcpp, lazyeval, stats, utils, arrangements, spatstat, EigenR,
Suggests: heavy, kde1d, knitr, rmarkdown

Title: Generalized Fiducial Inference for Low-Dimensional Robust Linear
Description: 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>.
Imports: Rcpp, lazyeval, stats, utils, spatstat, EigenR, data.table,

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

Title: Generalized Fiducial Inference for Normal Linear Mixed Models
person("Jessi", "Cisewski", role = c("aut", "ctb"),
Description: 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>.
Imports: Rcpp (>= 1.0.0), lazyeval, stats, spatstat, utils
Suggests: kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat
Jessi Cisewski [aut, ctb] (author of the original Matlab code,

Imports: Rcpp (>= 1.0.0), lazyeval, stats, spatstat, utils, forcats,
Suggests: kde1d, knitr, rmarkdown, lmerTest, emmeans, testthat, AOV1R,