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Fits generalized linear models using the same model specification as glm in the stats package, but with a modified default fitting method that provides greater stability for models that may fail to converge using glm.
Version: | 1.2.1 |
Depends: | R (≥ 3.2.0), stats |
Published: | 2018-08-11 |
DOI: | 10.32614/CRAN.package.glm2 |
Author: | Ian Marschner [aut] (using code from glm and glm.fit in the stats package), Mark W. Donoghoe [cre, ctb] |
Maintainer: | Mark W. Donoghoe <markdonoghoe at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | glm2 citation info |
Materials: | NEWS |
CRAN checks: | glm2 results |
Reference manual: | glm2.pdf |
Package source: | glm2_1.2.1.tar.gz |
Windows binaries: | r-devel: glm2_1.2.1.zip, r-release: glm2_1.2.1.zip, r-oldrel: glm2_1.2.1.zip |
macOS binaries: | r-release (arm64): glm2_1.2.1.tgz, r-oldrel (arm64): glm2_1.2.1.tgz, r-release (x86_64): glm2_1.2.1.tgz, r-oldrel (x86_64): glm2_1.2.1.tgz |
Old sources: | glm2 archive |
Reverse imports: | addreg, csalert, dce, ecoCopula, EdSurvey, gofedf, gravity, groupWQS, heckmanGE, ider, inctools, logbin, miWQS, MWASTools, weitrix, wqs, zetadiv |
Reverse suggests: | fastglm |
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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.