The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses. The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007, <https://ora.ox.ac.uk/objects/uuid:8f9ee0d0-d78e-4101-9ab4-f9cbceed2a2a>) using 'ROI' <https://cran.r-project.org/package=ROI> or 'lpSolveAPI' <https://cran.r-project.org/package=lpSolveAPI>. The post-fit methods apply to models with categorical responses, including binomial-response generalized linear models and multinomial-response models, such as baseline category logits and adjacent category logits models; for example, the models implemented in the 'brglm2' <https://cran.r-project.org/package=brglm2> package. The post-fit methods successively refit the model with increasing number of iteratively reweighted least squares iterations, and monitor the ratio of the estimated standard error for each parameter to what it has been in the first iteration. According to the results in Lesaffre & Albert (1989, <https://www.jstor.org/stable/2345845>), divergence of those ratios indicates data separation.
Version: | 0.3 |
Depends: | R (≥ 3.3.0) |
Imports: | ROI, ROI.plugin.lpsolve, lpSolveAPI, pkgload |
Suggests: | knitr, rmarkdown, covr, brglm2, AER, tinytest, ROI.plugin.ecos, ROI.plugin.glpk, ROI.plugin.alabama, ROI.plugin.neos |
Published: | 2022-08-26 |
DOI: | 10.32614/CRAN.package.detectseparation |
Author: | Ioannis Kosmidis [aut, cre], Dirk Schumacher [aut], Florian Schwendinger [aut], Kjell Konis [ctb] |
Maintainer: | Ioannis Kosmidis <ioannis.kosmidis at warwick.ac.uk> |
BugReports: | https://github.com/ikosmidis/detectseparation/issues |
License: | GPL-3 |
URL: | https://github.com/ikosmidis/detectseparation |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | detectseparation results |
Reference manual: | detectseparation.pdf |
Vignettes: |
Detecting separation and infinite estimates in log binomial regression Detecting separation and infinite estimates in logistic regression |
Package source: | detectseparation_0.3.tar.gz |
Windows binaries: | r-devel: detectseparation_0.3.zip, r-release: detectseparation_0.3.zip, r-oldrel: detectseparation_0.3.zip |
macOS binaries: | r-release (arm64): detectseparation_0.3.tgz, r-oldrel (arm64): detectseparation_0.3.tgz, r-release (x86_64): detectseparation_0.3.tgz, r-oldrel (x86_64): detectseparation_0.3.tgz |
Old sources: | detectseparation archive |
Reverse depends: | metadeconfoundR |
Reverse imports: | corncob |
Reverse suggests: | brglm2 |
Please use the canonical form https://CRAN.R-project.org/package=detectseparation to link to this page.
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.