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Fit generalized linear models with binomial responses using a median modified score approach (Kenne Pagui et al., 2016, <https://arxiv.org/abs/1604.04768>) to median bias reduction. This method respects equivariance under reparameterizations for each parameter component and also solves the infinite estimates problem (data separation).
Version: | 0.0.1 |
Depends: | R (≥ 2.6.0), nleqslv, enrichwith |
Suggests: | brglm |
Published: | 2017-02-05 |
DOI: | 10.32614/CRAN.package.mbrglm |
Author: | Euloge Clovis Kenne Pagui, Nicola Sartori and Alessandra Salvan |
Maintainer: | Euloge C. Kenne Pagui <kenne at stat.unipd.it> |
License: | GPL-2 |
NeedsCompilation: | yes |
CRAN checks: | mbrglm results |
Reference manual: | mbrglm.pdf |
Package source: | mbrglm_0.0.1.tar.gz |
Windows binaries: | r-devel: mbrglm_0.0.1.zip, r-release: mbrglm_0.0.1.zip, r-oldrel: mbrglm_0.0.1.zip |
macOS binaries: | r-release (arm64): mbrglm_0.0.1.tgz, r-oldrel (arm64): mbrglm_0.0.1.tgz, r-release (x86_64): mbrglm_0.0.1.tgz, r-oldrel (x86_64): mbrglm_0.0.1.tgz |
Reverse suggests: | brglm2 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.