glmfitmiss
2.1.0Fitting GLMs with Missing Data in Both Responses and Covariates
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Overview
About
Fits generalized linear models (GLMs) when there is missing data in both the response and categorical covariates. The functions implement likelihood-based methods using the Expectation and Maximization (EM) algorithm and optionally apply Firth’s bias correction for improved inference. See Pradhan, Nychka, and Bandyopadhyay (2025) <https:>, Maiti and Pradhan (2009) doi:10.1111/j.1541-0420.2008.01186.x, Maity, Pradhan, and Das (2019) doi:10.1080/00031305.2017.1407359 for further methodological details.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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glmfitmiss
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Dependencies
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5 external dependencies (excludes base and recommended)
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R >= 4.0.0
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2025-04-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 65 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet