Package: detectseparation 0.3
detectseparation: Detect and Check for Separation and Infinite Maximum Likelihood Estimates
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.
Authors:
detectseparation_0.3.tar.gz
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detectseparation.pdf |detectseparation.html✨
detectseparation/json (API)
NEWS
# Install 'detectseparation' in R: |
install.packages('detectseparation', repos = c('https://ikosmidis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ikosmidis/detectseparation/issues
- endometrial - Histology grade and risk factors for 79 cases of endometrial cancer
- lizards - Habitat preferences of lizards
- silvapulle1981 - Separation Example Presented in Silvapulle
Last updated 2 years agofrom:e11980d0fc. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:check_infinite_estimatescheckInfiniteEstimatesdetect_infinite_estimatesdetect_separationdetect_separation_controldetectInfiniteEstimatesdetectSeparationdetectSeparationControl
Dependencies:backportscallrcheckmateclidescfsgluelifecyclelpSolveAPIpkgbuildpkgloadprocessxpsR6registryrlangROIROI.plugin.lpsolverprojrootslamwithr
Detecting separation and infinite estimates in log binomial regression
Rendered frominfinite_estimates.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-08-27
Started: 2022-08-27
Detect/check for separation and infinite maximum likelihood estimates in logistic regression
Rendered fromseparation.Rmd
usingknitr::rmarkdown
on Nov 17 2024.Last update: 2022-08-27
Started: 2020-01-04
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generic method for checking for infinite estimates | checkInfiniteEstimates check_infinite_estimates |
A simple diagnostic of whether the maximum likelihood estimates are infinite | check_infinite_estimates.glm |
Detect Infinite Estimates | detectInfiniteEstimates detect_infinite_estimates |
Detect Separation | detectSeparation detect_separation print.detect_separation |
Auxiliary function for the 'glm' interface when 'method' is 'detect_separation'. | detectSeparationControl detect_separation_control |
detectseparation: Methods for Detecting and Checking for Separation and Infinite Maximum Likelihood Estimates | detectseparation |
Histology grade and risk factors for 79 cases of endometrial cancer | endometrial |
Habitat preferences of lizards | lizards |
Separation Example Presented in Silvapulle (1981) | silvapulle1981 |