Categorical Data Analysis

Includes wrapper functions around existing functions for the analysis of categorical data and introduces functions for calculating risk differences and matched odds ratios. R currently supports a wide variety of tools for the analysis of categorical data. However, many functions are spread across a variety of packages with differing syntax and poor compatibility with each another. prop_test() combines the functions binom.test(), prop.test() and BinomCI() into one output. prop_power() allows for power and sample size calculations for both balanced and unbalanced designs. riskdiff() is used for calculating risk differences and matched_or() is used for calculating matched odds ratios. For further information on methods used that are not documented in other packages see Nathan Mantel and William Haenszel (1959) and Alan Agresti (2002) .


Reference manual

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0.1.4 by Nick Williams, 2 years ago

Browse source code at

Authors: Nick Williams

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports epitools, DescTools, cli, magrittr, Hmisc, broom, rlang

Suggests testthat, dplyr, forcats

See at CRAN