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glmfitmiss

2.1.0

Fitting GLMs with Missing Data in Both Responses and Covariates

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2.3Kdownloads / year
40.2%test coverage
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Overview

About
Maintained by Vivek PradhanFirst published 2025-04-221 releasesCRAN page ↗

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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Slowest check: 3.7 min · r-devel-linux-x86_64-fedora-clang
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
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People (3)
Maintainer (1)
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Authors (3)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

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
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