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rqlm

4.4-1

Modified Poisson Regression for Binary Outcome and Related Methods

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About
Maintained by Hisashi NomaFirst published 2024-01-1113 releasesCRAN page ↗

Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) doi:10.1093/aje/kwh090, Noma (2026)doi:10.1016/j.spl.2026.110698, and Cheung (2007) doi:10.1093/aje/kwm223 have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.

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CRAN checks
13OK
Slowest check: 3.2 min · r-devel-linux-x86_64-fedora-clang
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

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3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (6)
statsMASSnnetsandwichmicelme4
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Package Timeline

13 releases. R releases are shown for context.

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  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-11
Total releases
13 / 2 yrs
License
GPL-3 OSI
Download size
87 KB
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