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".
| Version: | 1.0.0 |
| Imports: | rcdd, lazyeval, spatstat, EigenR, stats, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo, roptim, BH |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-01-26 |
| Author: | Stéphane Laurent [aut, cre] |
| Maintainer: | Stéphane Laurent <laurent_step at outlook.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11, gmp |
| Materials: | README NEWS |
| CRAN checks: | gfilogisreg results |
| Reference manual: | gfilogisreg.pdf |
| Vignettes: |
The 'gfilogisreg' package |
| Package source: | gfilogisreg_1.0.0.tar.gz |
| Windows binaries: | r-devel: gfilogisreg_1.0.0.zip, r-release: gfilogisreg_1.0.0.zip, r-oldrel: not available |
| macOS binaries: | r-release: gfilogisreg_1.0.0.tgz, r-oldrel: gfilogisreg_1.0.0.tgz |
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