Package: gfilogisreg
Title: Generalized Fiducial Inference for Binary Logistic Regression
        Models
Version: 1.0.2
Authors@R: 
    person(given = "Stéphane",
           family = "Laurent",
           role = c("aut", "cre"),
           email = "laurent_step@outlook.fr")
Description: Fiducial framework for the logistic regression model. The fiducial distribution of the parameters of the logistic regression is simulated, allowing to perform statistical inference on any parameter of interest. The algorithm is taken from Jessi Cisewski's PhD thesis: Jessi Cisewski (2012), "Generalized fiducial inference for mixed linear models".
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
SystemRequirements: C++11, gmp
Imports: rcdd, lazyeval, spatstat (>= 2.0.0), spatstat.geom, EigenR,
        stats, Rcpp
LinkingTo: Rcpp, RcppArmadillo, roptim, BH
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-12-21 12:57:50 UTC; SDL96354
Author: Stéphane Laurent [aut, cre]
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2021-12-21 13:30:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 09:49:00 UTC; windows
Archs: i386, x64
