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rqlm: Modified Poisson and Least-Squares Regressions for Binary
Outcome
Modified Poisson and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090> 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. Also, 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 (Noma and Gosho (2024) <Forthcoming>).
| Version: |
1.2-1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, MASS, sandwich |
| Published: |
2024-01-19 |
| Author: |
Hisashi Noma 
[aut, cre] |
| Maintainer: |
Hisashi Noma <noma at ism.ac.jp> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
rqlm results |
Documentation:
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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.
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