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A collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, tidyr, forcats, magrittr, rlang, knitr |
| Suggests: | testthat, lifecycle, rmarkdown, ggplot2, purrr |
| Published: | 2021-07-09 |
| DOI: | 10.32614/CRAN.package.twoxtwo |
| Author: | VP Nagraj [aut, cre] |
| Maintainer: | VP Nagraj <nagraj at nagraj.net> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | twoxtwo results |
| Reference manual: | twoxtwo.pdf |
| Vignettes: |
Attributable Fractions and Impact Numbers Basic Usage Hypothesis Testing Measures of Effect |
| Package source: | twoxtwo_0.1.0.tar.gz |
| Windows binaries: | r-devel: twoxtwo_0.1.0.zip, r-release: twoxtwo_0.1.0.zip, r-oldrel: twoxtwo_0.1.0.zip |
| macOS binaries: | r-release (arm64): twoxtwo_0.1.0.tgz, r-oldrel (arm64): twoxtwo_0.1.0.tgz, r-release (x86_64): twoxtwo_0.1.0.tgz, r-oldrel (x86_64): twoxtwo_0.1.0.tgz |
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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.