Generalized Fiducial Inference for Binary Logistic Regression Models

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".


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.2 by St├ęphane Laurent, a month ago

Browse source code at

Authors: St├ęphane Laurent [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports rcdd, lazyeval, spatstat, spatstat.geom, EigenR, stats, Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, roptim, BH

System requirements: C++11, gmp

See at CRAN